Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> In the incoming world of Internet of Things (IoT) for healthcare, different distributed devices will gather, analyze and communicate real time medical information to open, private or hybrid clouds, making it possible to collect, store and analyze big data streams in several new forms, and activate context dependent alarms. This innovative data acquisition paradigm allows continuous and ubiquitous medical data access from any connected device over the Internet, and a novel health application ecosystem emerges. In these complex ecosystems could be insufficient to discuss only classical requirements regarding hardware issues and software support of individual elements. In the involved multidisciplinary development area, with intricate vertical and horizontal markets, it is essential a close collaboration between the corresponding stakeholders: endusers, application domain experts, hardware designers, software developers, market specialists, road mapping strategists and even the collaboration of visionaries to implement successful healthcare ecosystems. In this paper we describe some crucial systems engineering viewpoints to analyse the corresponding complex decision space. We complement the general examination of the IoT space by commenting some particular examples and specific details, which correspond to remarkable options of the involved dimensions. <s> BIB001 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Recently, the popular use of wearable devices and mobile apps makes the effectively capture of lifelogging physical activity data in an Internet of Things (IoT) environment possible. The effective collection of measures of physical activity in the long term is beneficial to interdisciplinary healthcare research and collaboration from clinicians, researchers to patients. However, due to heterogeneity of connected devices and rapid change of diverse life patterns in an IoT environment, lifelogging physical activity information captured by mobile devices usually contains much uncertainty. In this paper, we provide a comprehensive review of existing life-logging physical activity measurement devices, and identify regular and irregular uncertainties of these activity measures in an IoT environment. We then project the distribution of irregular uncertainty by defining a walking speed related score named as Daily Activity in Physical Space (DAPS). Finally, we present an ellipse fitting model based validity improvement method for reducing uncertainties of life-logging physical activity measures in an IoT environment. The experimental results reflect that the proposed method effectively improves the validity of physical activity measures in a healthcare platform. <s> BIB002 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Ubiquitous healthcare is becoming a reality thanks to the advances in sensing and communication technologies, which make it possible to provide monitoring and diagnosis services outside the premises of healthcare providers. The Internet of Things (IoT) is the main paradigm through which medical devices will be connected to the Internet, thereby empowering near-realtime health services and transforming a patient's physical space into a smart space. Recent developments in nanotechnology are giving rise to the Internet of Nano-Things, with a new set of finegrained and highly sophisticated healthcare applications that can be run inside the human body. In this paper, we outline a vision of the ubiquitous healthcare ecosystem and its architectural requirements in order to incorporate nanonetworks. We identify some of the envisioned IoNT healthcare applications and the IoNT requirements that are necessary to support the different application categories, as well as the underlying healthcare service opportunities. In order to understand the current status of implementation, we provide a brief analysis of the major efforts targeted at IoNT performance analysis and evaluation. We finally discuss the most pressing challenges that the IoNT paradigm poses for healthcare applications and services. <s> BIB003 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> In recent years, healthcare sector has emerged as a major application area of Internet-of-Things (IoT). IoT aims to automate healthcare services through remote monitoring of patients using several vital sign sensors. Remotely collected patient records are then conveyed to the hospital servers through the user's smartphones. Healthcare IoT can thus reduce a lot of overhead while allowing people to access healthcare services all the time and everywhere. However, healthcare IoT exchanges data over the IP-centric Internet which has vulnerabilities related to security, privacy, and mobility. Those features are added to the Internet as external add-ons. In order to solve this problem, in this paper, we propose to use Named Data Networking (NDN), which is a future Internet paradigm based on Content-Centric Networking (CCN). NDN has in-built support for user mobility which is well-suited for mobile patients and caregivers. NDN also ensures data security instead of channel security earlier provided by the Internet. In this paper, we have developed NDNoT, which is an IoT solution for smart mobile healthcare using NDN. Our proof-of-concept prototype shows the usability of our proposed architecture. <s> BIB004 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Internet of Things (IoT) is a computing process, where each physical object is equipped with sensors, microcontrollers and transceivers for empowering communication and is built with suitable protocol stacks which help them interacting with each other and communicating with the users. In IoT based healthcare, diverse distributed devices aggregate, analyse and communicate real time medical information to the cloud, thus making it possible to collect, store and analyse the large amount of data in several new forms and activate context based alarms. This novel information acquisition paradigm allows continuous and ubiquitous medical information access from any connected device over the Internet. As each one of the devices used in IoT are limited in battery power, it is optimal to minimise the power consumption to enhance the life of the healthcare system. This work explains the implementation of an IoT based In-hospital healthcare system using ZigBee mesh protocol. The healthcare system implementation can periodically monitor the physiological parameters of the In-hospital patients. Thus, IoT empowered devices simultaneously enhance the quality of care with regular monitoring and reduce the cost of care and actively engage in data collection and analysis of the same. <s> BIB005 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Cloud-based healthcare service with the Internet of Healthcare Things (IoHT) is a model for healthcare delivery for urban areas and vulnerable population that utilizes the digital communications and the IoHT to provide flexible opportunities to transform all the health data into workable, personalized health insights, and help attain wellness outside the traditional hospital setting. This model of healthcare Web services acts like a living organism, taking advantage of the opportunities afforded by running in cloud infrastructure to connect patients and providers anywhere and anytime to improve the quality of care, with the IoHT, acting as a central nervous system for this model that measures patients’ vital statistics, constantly logging their health data, and report any abnormalities to the relevant healthcare provider. However, it is crucial to preserve the privacy of patients while utilizing this model so as to maintain their satisfaction and trust in the offered services. With the increasing number of cases for privacy breaches of healthcare data, different countries and corporations have issued privacy laws and regulations to define the best practices for the protection of personal health information. The health insurance portability and accountability act and the privacy principles established by the Organization for Economic Cooperation and Development (OECD) are examples of such regulation frameworks. In this paper, we assert that utilizing the cloud-based healthcare services to generate accurate health insights are feasible, while preserving the privacy of the end-users’ sensitive health information, which will be residing on a clear form only on his/her own personal gateway. To support this claim, the personal gateways at the end-users’ side will act as intermediate nodes (called fog nodes) between the IoHT devices and the cloud-based healthcare services. In such solution, these fog nodes will host a holistic privacy middleware that executes a two-stage concealment process within a distributed data collection protocol that utilizes the hierarchical nature of the IoHT devices. This will unburden the constrained IoHT devices from performing intensive privacy preserving processes. Additionally, the proposed solution complies with one of the common privacy regulation frameworks for fair information practice in a natural and functional way—which is OECD privacy principles. We depicted how the proposed approach can be integrated into a scenario related to preserving the privacy of the users’ health data that is utilized by a cloud-based healthcare recommender service in order to generate accurate referrals. Our holistic approach induces a straightforward solution with accurate results, which are beneficial to both end-users and service providers. <s> BIB006 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Diabetes, blood pressure, heart, and kidney, some of the diseases common across the world, are termed ’silent killers’. More than 50 % of the world’s population are affected by these diseases. If suitable steps are not taken during the early stages then severe complications occur from these diseases. In the work proposed, we have discussed the manner in which the Internet-of-Things based Cloud centric architecture is used for predictive analysis of physical activities of the users in sustainable health centers. The architecture proposed is based on the embedded sensors of the equipment rather than using wearable sensors or Smartphone sensors to store the value of the basic health-related parameters. Cloud centric architecture is composed of a Cloud data center, Public cloud, Private cloud, and uses the XML Web services for secure and fast communication of information. The architecture proposed here is evaluated for its adoption, prediction analysis of physical activities, efficiency, and security. From the results obtained it can be seen that the overall response between the local database server and Cloud data center remains almost constant with the rise in the number of users. For prediction analysis, If the results collected in real time for the analysis of physical activities exceed any of the parameter limits of the defined threshold value then an alert is sent to the health care personnel. Security analysis also shows the effective encryption and decryption of information. The architecture presented is effective and reduces the proliferation of information. It is also suggested, that a person suffering from any of the diseases mentioned above can defer the onset of complications by doing regular physical activities. <s> BIB007 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> With the emergence of medical IoT devices, it becomes feasible to collect and analyze medical contexts to assess health conditions, i.e. personal healthcare services. Toilet is a common device which people use regularly almost every day. Hence, we develop a toilet-based personal healthcare system with medical IoT devices, Rainbow Toilet System. It is mainly used to collect medical contexts using IoT devices and analyze medical contexts to compute various health indexes. <s> BIB008 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Internet of Things (IoT) is a recent technology that permits the users to connect anywhere, anytime, anyplace and to anyone. In this paper, the various medical services of IoT such as Ambient Assisted Living (AAL), Internet of m-health, community healthcare, indirect emergency healthcare and embedded gateway configuration are surveyed. Further, the applications of IoT in sensing the glucose level, ECG monitoring, blood pressure monitoring, wheelchair management, medication management and rehabilitation system are analyzed. The analysis results show that the use of IoT in the medical field increases the quality of life, user experience, patient outcomes and real-time disease management. The introduction of medical IoT is not without security challenges. Hence, the security threats such as confidentiality, authentication, privacy, access control, trust, and policy enforcement are analyzed. The presence of these threats affect the performance of IoT, thus, the cryptographic algorithms like Advanced Encryption Standard (AES), Data Encryption Standard (DES) and Rivest-Shamir-Adleman (RSA) are used. The investigation on these techniques proves that the RSA provides better security than the AES and DES algorithms. <s> BIB009 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Public healthcare has been paid an increasing attention given the exponential growth human population and medical expenses. It is well known that an effective health monitoring system can detect abnormalities of health conditions in time and make diagnoses according to the gleaned data. As a vital approach to diagnose heart diseases, ECG monitoring is widely studied and applied. However, nearly all existing portable ECG monitoring systems cannot work without a mobile application, which is responsible for data collection and display. In this paper, we propose a new method for ECG monitoring based on Internet-of-Things (IoT) techniques. ECG data are gathered using a wearable monitoring node and are transmitted directly to the IoT cloud using Wi-Fi. Both the HTTP and MQTT protocols are employed in the IoT cloud in order to provide visual and timely ECG data to users. Nearly all smart terminals with a web browser can acquire ECG data conveniently, which has greatly alleviated the cross-platform issue. Experiments are carried out on healthy volunteers in order to verify the reliability of the entire system. Experimental results reveal that the proposed system is reliable in collecting and displaying real-time ECG data, which can aid in the primary diagnosis of certain heart diseases. <s> BIB010 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Internet of things (IoT) becomes important and various used in many applications. In case of smart health, we need to help patients and healthcare practitioners manage their appointment easier. Nowadays, there are many patients who are receiving treatment for diseases in hospitals and this tends to be increase in every year. In some diseases, doctor needs to follow-up the patient symptom continuously so that the doctor makes a follow-up appointment for the next treatment. Some hospitals currently have no patient appointment reminder when the appointment is coming while some hospitals remind their patients via either telephones or short message service (SMS). This results in costs and can be errors in the appointment reminder. This paper proposes an automated patient appointment reminder for cross-platform mobile application. The patients can receive appointment notification before the appointment date, be able to postpone or cancel the appointment easily when they cannot come to see the doctor or the patient get better. In addition, the doctors and patients can observe their appointment via mobile application. The application performance is evaluated by user satisfaction scores. <s> BIB011 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> The recent advancements in technology and the availability of the Internet make it possible to connect various devices that can communicate with each other and share data. The Internet of Things (IoT) is a new concept that allows users to connect various sensors and smart devices to collect real-time data from the environment. However, it has been observed that a comprehensive platform is still missing in the e-Health and m-Health architectures to use smartphone sensors to sense and transmit important data related to a patient's health. In this paper, our contribution is twofold. Firstly, we critically evaluate the existing literature, which discusses the effective ways to deploy IoT in the field of medical and smart health care. Secondly, we propose a new semantic model for patients' e-Health. The proposed model named as `k-Healthcare' makes use of 4 layers; the sensor layer, the network layer, the Internet layer and the services layer. All layers cooperate with each other effectively and efficiently to provide a platform for accessing patients' health data using smart phones. <s> BIB012 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> The healthcare scene is changing radically around the world as innovative digital technologies are being adopted to meet the challenges of burgeoning healthcare costs, maintain quality of care and provide access to healthcare services. Global internet connectivity, wide-spread use of smart phones, social media and existence in an environment of ubiquitous computing and ambient intelligence have empowered the people to participate more actively in the management of their personal health. The advent of Health IOT heralds a paradigm shift with Smart healthcare in which integrated care models adopted to consolidate the fragmented care services will be technologically enhanced to deliver personalised and precision healthcare tailored to the individual. Home healthcare promises to be the new frontier and a potentially disruptive technology innovation. Wearable biosensors, digital health monitoring devices, intelligent home monitoring, digital avatars for behavioural modification and treatment compliance, wellness and healthcare mobile applications, telemedicine, tele-rehabilitation, telepresence robots, social robots, homecare and services networks driven by artificial intelligence and point-of-care diagnostics for personalised healthcare are some of the exciting changes on the horizon if not already in practice. Integration of these technologies into existing healthcare systems and workflows can be challenging. Singapore is well-poised with the Smart Nation programme to harness the value of these health technologies. <s> BIB013 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> In this paper we describe the mobile health (m-health) system in the context of Internet of Things (IoT). We describe the fundamental characteristics of m-health devices such as compactness, IP connectivity, low-power consumption and security. We discuss acquisition of mobile health data via medical gadgets and wearables and application of this data in monitoring various health conditions such as blood sugar level, ECG, blood-pressure, asthma, etc. Security is very critical for IoT based m-health system. We address the issues of confidentiality, privacy, and security in the context of secure m-health system. We listed several measures to protect the information of patients and m-health system. The m-health system will benefit the patients in many ways such as quick diagnosis, remote monitoring and home rehabilitation. Overall m-health system will significantly reduces healthcare cost and unnecessary hospitalizations. <s> BIB014 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> The last few years, significant advances which improve healthcare have been done in Internet of Things, in cloud computing, in video coding, and in mobile devices. This paper provides an overview of these advances. Also, we propose an IoT-based surveillance system for ubiquitous healthcare monitoring. The system consists of sensors, actuators, and cameras. Mesh topology was decided to be used as it provides important advantages. Moreover, the Constrained Application Protocol (CoAP) is used for the data compression and transferring, and the Scalable High-Efficiency Video Coding (SHVC) is used for the video compression and transferring. The SHVC can deliver the same video quality in half of the bit rate than the High-Efficiency Video Coding (HEVC). Furthermore, cloud services are provided, such as storage and real-time monitoring. Finally, we made a comparative analysis between our proposed system architecture and two other approaches. From this analysis, we can say that our system architecture has some benefits instead of other similar architectures. Also, we made an analysis of the bandwidth and the network throughput. The results are significant since the bandwidth required for the transmission of data and video is reduced. <s> BIB015 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Healthcare data is quite rich and often contains human survival related information. Analyzing healthcare data is of prime importance particularly considering the immense potential of saving human life and improving quality of life. Furthermore, IoT revolution has redefined modern health care systems and management. IoT offers its greatest promise to deliver excellent progress in healthcare domain. In this talk, proactive healthcare analytics specifically for cardiac disease prevention will be discussed. Anomaly detection plays a prominent role in healthcare analytics. In fact, the anomalous events are to be accurately detected with low false negative alarms often under high noise (low SNR) condition. An exemplary case of smartphone based cardiac anomaly detection will be presented. <s> BIB016 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> ABSTRACTCurrently, healthcare systems have recently witnessed a remarkable evolution manifested not only in the noticeable growth in health spending, scientific and technological progress, and demographic changes, but also in social expectations changes. To couple with such requirements and developments (both organizational and functional), a quest for rather innovative and effective organizational modes seem imposed. As a result of these evolutions, several cooperation and coordination based structural organizations have emerged, worth mentioning among which are the Multi Agent Systems (MAS). In this regard, this work seeks to put forward a novel hospital-organization modelling framework based on the MAS. Designed primarily to enhance the communication patterns among the different medical caregivers in a bid to create rather efficient care services, the proposed system turns out to be dubbed: Agent Technology for Hospital Modelization (ATHM), assessed and implemented at the Sfax city based ESSALEMA polyc... <s> BIB017 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Health issues are rising progressively due to the ignorance of health monitoring on regular basis which can now be looked after by the fast growing communication technologies and smart devices. In this paper, a robust healthcare model is proposed for continuous monitoring of the patient even when the patient is traveling. Sensitive data is collected from the Internet of Things (IoT) sensors connected to the patient's body and sent to the server through the smartphone of the patient. The mechanism under discussion in this paper ensures that if the patient's smartphone is malfunctioning then IoT sensors will connect to the optimal peer smartphone available in his vicinity and transmit data without interruption. The data received is then analyzed and reports are generated. In case of emergency, stakeholders are informed. <s> BIB018 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Diagnosis, and monitoring of health is a very important task in healthcare industry. Due to time constraint, people are not visiting hospitals, which might and possibly lead to a lot of health issues in one instant of time. Predominantly most of the healthcare systems have been developed to predict and diagnose the health of the patients by which people who are busy in their schedule can also monitor their health at regular intervals. Many studies show that early prediction is the best way to cure health because early diagnosis will help and alert the patients to know the health status. Healthcare being a global issue more particularly India being a most populated nation where majority of which live in villages deprived of healthcare facilities on real time basis continuously and regularly. With the increasing use of technology, there is an urgent need to have such a smart health monitoring system that can communicate between network devices and application which will help the patients and doctors to monitor, track and record the patient's sensitive data containing medical information. This paper depicts the idea of solving health issues using the latest technology, Internet of Things (IoT). It presents the architectural review of smart healthcare system using Internet of Things(IoT) which is aimed to provide a Better HealthCare to everyone. Using this system architecture, patient's body parameters can be measured in real time. Sensors collect patients body parameters and transfers that data to Microcontroller ATMEL 89s52 which further transfer that data to the MySQL database server. This MySQL database server manages the data and provides accessibility. The patient can view this data with the help of Android App. Which one can install in Smartphone, or Tablet. If data is abnormal then patient gets notification also care takers will get emergency message. With the help of different decision making algorithms decisions can be made easily and fast and according to it people can have access to the database. The patient can check their medical record Hence, the system provides a Better HealthCare to everyone and error free and smooth communication to patients. <s> BIB019 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Many of the people around us forget to take medication on time. The proposed model of smart medical box is a single board computer based assistive device for people who suffer with short term memory loss. It is an alarm based device that helps in reminding patients about their medication. The use of Internet of Things (IoT) concepts and health sensing technologies make diagnosis easier and convenient for the doctors as well as the patients [1]. This paper presents an overview of an assistive device for monitoring non-compliance of medication by providing a single platform and a closed loop connection between patients, doctors, and pharmacies. This work gives insight into mechanical design, system architecture and design of android application, information security and integrating the physical system to cloud. The architecture used is a secure one as it uses end-to-end encryption for sending sensor data [2]. This device helps in maintaining one-time medication to the patients, and helps increasing the life expectancy. <s> BIB020 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> The role of Information and Communication Technology (ICT) for large crowd events in smart cities will continue grow with the growing service demands. An important service is Healthcare's use of smart mobile technologies for patients' profiles. Medical staff in health care organizations can benefit from ICT & Internet of Things (IOT) solutions to access and gather data from patient's records. This paper presents enterprise architecture models for "Mobile Healthcare Events System" (MHES). The system supports and delivers quality healthcare information for patients. Enterprise healthcare uses mobile and cloud computing to address the challenges that face the enterprise health care system architecture. These models combine the technologies of mobile cloud health information and analysis and describe their development for enterprise solutions. They provide services for online access to health records for specific patients and support medical procedures that diagnose the patients crowded in large events such religious or sporting events that last for several weeks. Using mobile devices and cloud technologies the proposed system will evolve and transform traditional health care processes utilizing a mobile device to provide a public event health service. In addition, the system supports medical health care staff and professionals for better patient diagnosis, checking patient history records, and collaborating with other enterprises such as the patient's physician offices, Emergency Medical Services (EMS) and the World Health Organizations. <s> BIB021 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Healthcare industry has perpetually been on the forefront in the adoption and utilization of information and communication technologies (ICT) for the efficient healthcare administration and treatment. Recent developments in ICT and the emergence of Internet of Things (IoT) have opened up new avenues for research and exploration in the all fields including medical and healthcare industry. Hospitals have started using the cell instruments for communication intent and for this intent internet of things (IoT) has been used and fused with wi-fi sensor node reminiscent of RFID, NFC tag and small sensor nodes. The usage of a cellular agent in healthcare procedure underneath wi-fi community environment gives a chance to explore improved services for patients and staffs reminiscent of medical professionals and nurses given that of its mobility. In this paper novel method to utilize it IoT within the field of scientific and crafty wellness care are presented. The majority of the survey exist about the different healthcare approaches used in the IoT, similar to, wireless well-being monitoring, U-healthcare, E-healthcare, Age-friendly healthcare techniques. This paper describes and proposes a complete monitoring existence cycle and effective healthcare monitoring system designed by using the IoT and RFID tags. The experimental results in this paper show the robust output against various medical emergencies. In this system to get the veracious evaluation results, supervising and weighing the health status of patient and to increase the power of IoT, the combination of microcontroller with sensors is presented. <s> BIB022 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Ambient Assisted Living (AAL) is receiving significant attention due to its promise to uplift the healthcare sector in general, and to promote care for the frail and aging patients in particular. The Internet of Medical Things (IoMT) technology is a key facilitator for AAL. IoMT provides medical services that make smart hospital, doctors and patients interact in harmony leading to elevated healthcare levels. In this paper, we develop an integrated medical platform for remote health monitoring. The proposed multi-layer architecture senses and collects information about the patient vitals alongside his/her surrounding environment. Then, it relays such information to a cloud for storage and data analysis where further actions are applied for a better end user experience. Such data is accessible to the patient's healthcare providers and remote family members through a mobile application. We built and tested a prototype of the proposed IoMT architecture to illustrate how it achieves the AAL goals. <s> BIB023 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Internet of Things is the new revolution that is going to impact every facet of our lives. Internet of Things (IoT) is the new technology which includes the collection of Sensors, Actuators, processors and other development boards (eg. Raspberry pi, Arduino etc) to collect the data from different sources depending upon domain of application, process the acquired data before sending to distant cloud or mobile application depending upon the requirement[7]. The most promising application of IoT is in the field of health care sector. In some countries, people still do not have access to quality health facilities owing to different barriers. The physical distance between patient and clinic is one of the foremost reasons. This paper studies the application of IoT in health care domain and a system is proposed to monitor the ECG of the distant patient. In the proposed system the Bio signals are collected from the Body of the patient using ECG sensor and after the required processing using development boards, sent to distant cloud named as Bluemix[14] which is owned by IBM, for further analysis by a physician or other authorized person. The Bluemix cloud uses MQTT (Message Queuing Telemetry Transport) protocol which is used to connect different types of applications and devices together across the globe. MQTT is a lightweight protocol which is developed for a machine to machine (M2M) communication. <s> BIB024 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> As the world population is growing at a rapid pace, the demand for better health care facilities is increasing steadily. It has been observed that many health problems are unpredictable; especially heart diseases; hence it is important to monitor heart continuously. Earlier it was not always possible to monitor the patient continuously and for longer durations, but thanks to the latest developments in the domain of Information and Communications Technology (ICT), that facilitate the acquirement, transmission, interpretation and reception of various bio-signals, from permanent or mobile sites. The developments in the sphere of sensing technologies, wireless communication, embedded systems, nano-electronics, etc make it feasible to build intelligent systems to monitor bio-signals especially heart signals (ECG) of the patient; and further with the help of necessary protocols, the information can be promptly sent to the doctor, hospitals, etc. Thanks to the concept of Internet-of-Things (IoT), which provides necessary help in emergency situations. Nanomaterials are now being used in a big way because of their several advantages over the conventional materials. So, getting together the concept of IoT and nanomaterials will restructure the field of health-care, promising economic, technological and social benefits. <s> BIB025 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> The emergence of the Internet of Things involves new services in healthcare while existing systems will have to interact with the IoT framework in order to integrate in the established ecosystem and use its infrastructure and services. It will be important to design appropriate interfaces for those systems that will take into consideration the unique characteristics of healthcare. We propose an interface design that allows users to efficiently interact with smart objects of a healthcare platform. The notion of a wearable cloud is introduced which connects all sensors of a Body Area Network into a unified interface, managed by a single device, while context aware computing methods personalize the system behavior and natural interaction methods are integrated. <s> BIB026 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> The internet of things is increasingly spreading into the domain of medical and social care. Internet-enabled devices for monitoring and managing the health and well-being of users outside of traditional medical institutions have rapidly become common tools to support healthcare. Health-related internet of things (H-IoT) technologies increasingly play a key role in health management, for purposes including disease prevention, real-time tele-monitoring of patient’s functions, testing of treatments, fitness and well-being monitoring, medication dispensation, and health research data collection. H-IoT promises many benefits for health and healthcare. However, it also raises a host of ethical problems stemming from the inherent risks of Internet enabled devices, the sensitivity of health-related data, and their impact on the delivery of healthcare. This paper maps the main ethical problems that have been identified by the relevant literature and identifies key themes in the on-going debate on ethical problems concerning H-IoT. <s> BIB027 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> The Internet of Things (IoT) is facilitating the development of novel and cost-effective applications that promise to deliver efficient and improved medical facilities to patients and health organisations. This includes the use of smart 'things' as medical sensors attached to patients to deliver real-time data. However, the security of patient data is an ever-present concern in the healthcare arena. In the wider deployment of IoT-enabled smart healthcare systems one particular issue is the need to protect smart 'things' from unauthorised access. Commonly used access control approaches e.g. Attribute Based Access Control (ABAC), Role Based Access Control (RBAC) and capability based access control do not, in isolation, provide a complete solution for securing access to IoT-enabled smart healthcare devices. They may, for example, require an overly-centralised solution or an unmanageably large policy base. To address these issues we propose a novel access control architecture which improves policy management by reducing the required number of authentication policies in a large-scale healthcare system while providing fine-grained access control. We devise a hybrid access control model employing attributes, roles and capabilities. We apply attributes for role-membership assignment and in permission evaluation. Membership of roles grants capabilities. The capabilities which are issued may be parameterised based on further attributes of the user and are then used to access specific services provided by IoT 'things'. We also provide a formal specification of the model and a description of its implementation and demonstrate its application through different use-case scenarios. Evaluation results of core functionality of our architecture are provided. <s> BIB028 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Internet of Things (IoT) is the network of physical objects where information and communication technology connect multiple embedded devices to the Internet for collecting and exchanging data. An important advancement is the ability to connect such devices to large resource pools such as cloud. The integration of embedded devices and cloud servers offers wide applicability of IoT to many areas of our life. With the aging population increasing every day, embedded devices with cloud server can provide the elderly with more flexible service without the need to visit hospitals. Despite the advantages of the sensor-cloud model, it still has various security threats. Therefore, the design and integration of security issues, like authentication and data confidentiality for ensuring the elderly’s privacy, need to be taken into consideration. In this paper, an intelligent and secure health monitoring scheme using IoT sensor based on cloud computing and cryptography is proposed. The proposed scheme achieves authentication and provides essential security requirements. <s> BIB029 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Internet of Things (IoT) can be perceived as enabling user-specific interoperable communication services by integration of sensing and actuation technologies with other leading technologies, such as telecommunication, networking, security and cloud computing etc. Application of the ubiquitous IoT technologies to augment healthcare systems inadvertently exposes the latter to unpredictable, disruptive cyber-attacks. Information and communication security is of utmost important as medical devices or sensors deployed to monitor and collect personal medical data are highly vulnerable to malicious hacker attacks. Moreover, compliance with industry standards and government regulations mandate security and privacy protection of health and medical information. In this paper we introduce a smart gateway which safeguards the entire system using modified Host Identity Protocol Diet EXchange (HIP-DEX) key exchange protocol and a new key exchange scheme based on Low Energy Adaptive Clustering Hierarchy (LEACH) routing protocol. Our proposed IoT based healthcare framework is designed to provide end-to-end privacy and protection from security breaches. <s> BIB030 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Interoperability remains a significant burden to the developers of Internet of Things’ Systems. This is due to the fact that the IoT devices are highly heterogeneous in terms of underlying communication protocols, data formats, and technologies. Secondly due to lack of worldwide acceptable standards, interoperability tools remain limited. In this paper, we proposed an IoT based Semantic Interoperability Model (IoT-SIM) to provide Semantic Interoperability among heterogeneous IoT devices in healthcare domain. Physicians communicate their patients with heterogeneous IoT devices to monitor their current health status. Information between physician and patient is semantically annotated and communicated in a meaningful way. A lightweight model for semantic annotation of data using heterogeneous devices in IoT is proposed to provide annotations for data. Resource Description Framework (RDF) is a semantic web framework that is used to relate things using triples to make it semantically meaningful. RDF annotated patients’ data has made it semantically interoperable. SPARQL query is used to extract records from RDF graph. For simulation of system, we used Tableau, Gruff-6.2.0, and Mysql tools. <s> BIB031 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> A mobile health (mHealth) system is responsible to support and provision of healthcare services using mobile communication devices, such as mobile phones and tablet computers. Although mHealth system development for Internet of Things (IoT) environments is still in the early stage, the existing research shows the essential potential impact on the healthcare service industry. This chapter overviews important IoT use cases in healthcare focusing on the proposed IoT solutions for smart services provided by an mHealth system. The study discusses recent experience on development of smart space based mHealth systems. IoT-aware opportunities and properties of healthcare services are considered, including our vision on service intelligence in the mHealth case. Smart spaces based methods are described for mHealth system development, including multi-agent architectures, semantics-oriented information sharing, and operation with multisource heterogeneous data. <s> BIB032 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Summary ::: Ambient Assisted Living (AAL) main goal is the development of health monitoring systems for patients with chronic diseases and elderly people through the use of body, home, and environmental sensors that increase their degree of independence and mobility. A comprehensive software infrastructure for AAL systems should be able to cover scenarios involving several patient mobility levels, locations, and physical and cognitive abilities. Cloud computing can provide to AAL systems the ability to extend the limited processing power of mobile devices, but its main role is to integrate all stakeholders through the storage and processing of health data and the orchestration of healthcare business logic. On the other hand, the Internet of Things (IoT) provides the ability to connect sensors and actuators, integrating and making them available through the Internet. This paper presents the Mobile-Hub/Scalable Data Distribution Layer, a middleware for AAL based on cloud computing and IoT. We discuss how this middleware can handle the requirements of the main health monitoring scenarios and present results that demonstrate the ability to opportunistically discover and connect with sensors in a timely manner and the scalability necessary for handling the connection and data processing of many connected patients. <s> BIB033 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> In this paper, we propose an access control architecture for constrained healthcare resources in the IoT. Our policy-based approach provides fine-grained access for authorised users to services while protecting valuable resources from unauthorised access. We use a hybrid approach by employing attributes, roles and capabilities for our authorisation design. We apply attributes for role membership assignment and in permission evaluation. Membership of roles grants capabilities. The capabilities which are issued may be parameterised based on further attributes of the user and are then used to access specific services provided by IoT devices. This significantly reduces the number of policies required for specifying access control settings. The proposed scheme is XACML driven. Our approach requires very little additional overhead when compared to other proposals employing capabilities for access control in the IoT. We have implemented a proof of concept prototype and provide a performance evaluation of the implementation. <s> BIB034 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> The present work proposes an efficient architecture of a smart health care monitoring framework using sensors and Internet of Things. With 1: 1674 doctor-patient population ratio in India, the shortage of health providers and infrastructure is the most acute in rural areas. The paper presents an efficient model wherein a doctor can monitor the health of the patient from a remote location through the efficient use of technology, thereby addressing this shortage of healthcare personal in Indian scenario. In the proposed system, the vital health parameters like Electrocardiograph (ECG), Body Temperature, Blood Pressure (BP), Heart Beat rate, Glucose Level Detection and Galvanic Skin Response of patient are collected and evaluated through the use of smart devices. The data is further transmitted wirelessly through Zigbee IEEE 801.15.4 technology for further analysis using data analytics. Next the android application of the system displays this data about vital statistics on a Smartphone of a doctor enabling him to receive the current status of the patient without being physically present there. Whenever there is a variation in any physiological parameter of a patient beyond a pre-assigned threshold value, an automated notification will pop up in doctors’ android mobile application. Hence the present IOT based smart health care monitoring system enables the remote monitoring of medical parameters along with the tracking of medical equipments leading to smart hospital services. <s> BIB035 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Personalized healthcare systems deliver e-health services to fulfill the medical and assistive needs of the aging population. Internet of Things (IoT) is a significant advancement in the Big Data era, which supports many real-time engineering applications through enhanced services. Analytics over data streams from IoT has become a source of user data for the healthcare systems to discover new information, predict early detection, and makes decision over the critical situation for the improvement of the quality of life. In this paper, we have made a detailed study on the recent emerging technologies in the personalized healthcare systems with the focus towards cloud computing, fog computing, Big Data analytics, IoT and mobile based applications. We have analyzed the challenges in designing a better healthcare system to make early detection and diagnosis of diseases and discussed the possible solutions while providing e-health services in secure manner. This paper poses a light on the rapidly growing needs of the better healthcare systems in real-time and provides possible future work guidelines. <s> BIB036 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Medicinal services were one of the best most difficulties that each nation is confronting today. The IOT can convey numerous advantages to human services using sensors, clever equipment's, and so forth. Internet of Things (IoT) has made another skyline in medicinal services segment which particularly goes for associating the world through shrewd items. In this task, our commitment is twofold. Right off the bat, we fundamentally assess the current writing, which examines the viable approaches to convey IoT in the field of therapeutic and keen social insurance. Besides, we propose another semantic model for patient's e-Health. It gathers and totals information which expects to address the patient without even physically going by the health focus and furthermore solution can be produced without Doctor. The proposed structure would acquire a huge change the medicinal services division of India. As the innovation for gathering, investigating and transmitting information in the IoT keeps on developing, we'll see increasingly energizing new IoT-driven human services applications and frameworks rise. A cloud based applied structure has been proposed which will be advantageous to the social insurance industry executing IoT medicinal services answers for productively give a stage to getting to patient's wellbeing information utilizing advanced mobile phones. In this, we proposed an intelligent administration model for providing health care which gives a powerful input to an individual with respect to the measure of water to be devoured in view of the temperature, humidity of encompassing the blood pressure of the individual and temperature of the body at that development of time. <s> BIB037 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Smart hospital is a healthcare infrastructure that uses IoT technology. This intelligent space allows to collaborate a several health actors via their IoT devices. This coordination improves the quality and continuity of health services for better patient care. However, uncontrolled access to patient information can disrupt the smooth running of hospital services. In this paper, we aim to secure the information of patient exchanged and shared, using the privacy and access control based on the context. We develop two protocols, the first is a context-aware pseudonym service. It protects the patient’s personal and health information in two smart space hospital and home. Furthermore, we prevent the disclosure of the patient’s location during his hospital stay. The second is an authorization and delegation protocol based on trust, context and role. It oversees the actions and interactions of health body with the smart bracelet object of patient. Our protocol uses the context to generate a set of roles with their trust values. Only one role is activated if its trust value is greater than or equal to a trust threshold. A dynamic delegation mechanism is created to better manage the interactions between health bodies. We demonstrate through the practical analysis as well as generation time overhead, storage overhead and response time requirement the efficiency and robustness of our proposed protocols. <s> BIB038 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> The emergence of Internet of Things (IoT) applications and rapid advances in wireless communication technologies have motivated a paradigm shift in the development of viable applications such as mobile-health (m-health). These applications boost the opportunity for ubiquitous real-time monitoring using different data types such as electroencephalography (EEG), electrocardiography (ECG), etc. However, many remote monitoring applications require continuous sensing for different signals and vital signs, which result in generating large volumes of real time data that requires to be processed, recorded, and transmitted. Thus, designing efficient transceivers is crucial to reduce transmission delay and energy through leveraging data reduction techniques. In this context, we propose an efficient data-specific transceiver design that leverages the inherent characteristics of the generated data at the physical layer to reduce transmitted data size without significant overheads. The goal is to adaptively reduce the amount of data that needs to be transmitted in order to efficiently communicate and possibly store information, while maintaining the required application quality-of-service (QoS) requirements. Our results show the excellent performance of the proposed design in terms of data reduction gain, signal distortion, low complexity, and the advantages that it exhibits with respect to state-of-the-art techniques since we could obtain about 50% compression ratio at 0% distortion and sample error rate. <s> BIB039 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Internet of Things (IoT) is the combination or collection of different devices, wearable, appliances and other items having sensors, actuators and software etc. which makes them able to connect with each other through the Internet and exchange or share data. The medical/healthcare industry is leading the list to adopt the IoT. Usage of the IoT-based body sensors is becoming more popular and common between people for continuous monitoring and medical healthcare to perform real-time actions in case of emergencies. In this paper, we propose an application method called EK-healthcare model in which patients' data can be sent through mobile phone SMS as well as through Internet to get emergency services. This paper incorporates new and enhanced features in our existing research [1] so that the patients can get emergency services in case there is no Internet access. The results show that incorporating the enhanced features reduces the response time, increases the security and is reliable. <s> BIB040 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Ever since the boost realized in Information and Communication Technology (ICT), market is flooded with high-end multi-tasking devices, presenting a real-time computational environment for technologies like Internet of Things (IoT). With computation at user-end, it provides a fog-based computing paradigm to generate time senstive results, which along with cloud storage presents a comprehensive Fog-Cloud computing paradigm. Because of these reasons, the work presented in this paper focuses on utilizing the potential of IoT Technology to provide a novel Fog-Cloud architecture for efficient healthcare services in smart office. Specifically, a Fog-Cloud architecture has been proposed to monitor and analyze various health attributes of a person during his working hours. Moreover, the framework indulges various activities in the ambient office environment with the purpose of analyzing it for health severity. In order to realize this, a probabilistic measure, named as Severity Index (SI) is defined to evaluate the adverse effects of different activities on personal health. Finally, an application scenario of temporal healthcare predictive monitoring and alert generation is discussed to depict the ideology of Smart Office Healthcare. In order to validate the system, an experimental implmentation is performed on heterogenous datasets. The results obtained in comparison to state-of-the-art techniques show that the proposed model is highly efficient and accurate for providing appropriate healthcare environment during working hours of a person in a smart office. <s> BIB041 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Internet of Things (IoT) technology provides a competent and structured approach to handle service deliverance aspects of healthcare in terms of mobile health and remote patient monitoring. IoT generates an unprecedented amount of data that can be processed using cloud computing. But for real-time remote health monitoring applications, the delay caused by transferring data to the cloud and back to the application is unacceptable. Relative to this context, we proposed the remote patient health monitoring in smart homes by using the concept of fog computing at the smart gateway. The proposed model uses advanced techniques and services, such as embedded data mining, distributed storage, and notification services at the edge of the network. Event triggering-based data transmission methodology is adopted to process the patient’s real-time data at fog layer. Temporal mining concept is used to analyze the events adversity by calculating the temporal health index of the patient. In order to determine the validity of the system, health data of 67 patients in IoT-based smart home environment was systematically generated for 30 days. Results depict that the proposed Bayesian belief network classifier-based model has high accuracy and response time in determining the state of an event when compared with other classification algorithms. Moreover, decision making based on real-time healthcare data further enhances the utility of the proposed system. <s> BIB042 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Abstract Healthcare industry is gaining a lot of attention due to its technological advancement and the miniaturization in the form of wearable sensors. IoT-driven healthcare industry has mainly focused on the integration of sensors rather than the integration of services and people. Nonetheless, the framework for IoT-driven healthcare applications are significantly lacking. In addition, the use of semantics for ontological reasoning and the integration of mobile applications into a single framework have also been ignored in many existing studies. This work presents the implementation of Healthcare Internet of Things, Services, and People (HIoTSP) framework using wearable sensor technology. It is designed to achieve the low-cost (consumer devices), the easiness to use (interface), and the pervasiveness (wearable sensors) for healthcare monitoring along with the integration of services and agents like doctors or caregivers. The proposed framework provides the functionalities for data acquisition from wearable sensors, contextual activity recognition, automatic selection of services and applications, user interface, and value-added services such as alert generation, recommendations, and visualization. We used the publicly available dataset, PAMAP2 which is a physical activity monitoring dataset, for deriving the contextual activity. Fall and stress detection services are implemented as case studies for validating the realization of the proposed framework. Experimental analysis shows that we achieve, 87.16% accuracy for low-level contextual activities and 84.06%–86.36% for high-level contextual activities, respectively. We also achieved 91.68% and 82.93% accuracies for fall and stress detection services, respectively. The result is quite satisfactory, considering that all these services have been implemented using pervasive devices with the low-sampling rate. The real-time applicability of the proposed framework is validated by performing the response time analysis for both the services. We also provide suggestions to cope with the scalability and security issues using the HIoTSP framework and we intend to implement those suggestions in our future work. <s> BIB043 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Abstract Internet of things provides interaction with billions of objects across the world using the Internet. In Internet of thing era, Healthcare Industry has grown-up from 1.0 to 4.0 generation. Healthcare 3.0 was hospital centric, where patients of long-lasting sickness suffered a lot due to multiple hospital visits for their routine checkups. This in turn, prolonged the treatment of such patients along with an increase in the overall expenditure on treatment of patients. However, with recent technological advancements such as fog and cloud computing, these problems are mitigated with a minimum capital investment on computing and storage facilities related to the data of the patients. Motivated from these facts, this paper provide an analysis of the role of fog computing, cloud computing, and Internet of things to provide uninterrupted context-aware services to the end users as and when required. We propose a three layer patient-driven Healthcare architecture for real-time data collection, processing and transmission. It gives insights to the end users for the applicability of fog devices and gateways in Healthcare 4.0 environment for current and future applications. <s> BIB044 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> ABSTRACTThe ageing of the global population is creating a crisis in chronic disease management. In the USA, 29 million people (or 9.3% of the population) suffer from the chronic disease of diabetes; according to the WHO, globally around 200 million people are diabetic. Left unchecked, diabetes can lead to acute and long-term complications and ultimately death. Diabetes prevalence tends to be the highest among those aged 65 and older (nearly 20.6%), a population which often lacks the cognitive resources to deal with the daily self-management regimens. In this paper, we discuss the design and implementation of an Internet-of-Things (IoT) and wireless sensor system which patients use in their own homes to capture daily activity, an important component in diabetes management. Following Fogg’s 2009 persuasion theory, we mine the activity data and provide motivational messages to the subjects with the intention of changing their activity and dietary behaviour. We introduce a novel idea called “persuasive sensin... <s> BIB045 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Internet of things technology consists of physical objects that are accessible via the Internet, for example, devices, vehicles, and buildings. Internet of things technology is used to connect these physical objects by utilizing the existing infrastructure of networks. A unique identifier is assigned to identify the objects in IoT environments. Internet of things technology is used to make productive decisions on the sensed data after converting it into information. IoT technology is being used in various life disciplines, such as smart health services delivery, smart traffic management, border management, and governmental control. There is no single standard for IoT technology; thus, interoperability between IoT devices that use different protocols and standards is required. This research was carried out to provide and develop a specialized framework for an IoT-based smart health system by focusing particularly on interoperability problems. Based on different technology standards and communication protocols, the specific requirements of the IoT system were analyzed and served as a basis for the design of the framework. The protocols and standards within the framework utilize existing web technologies, communication protocols, and hardware design. This approach ensures that the specific expectations of the proposed model can be fulfilled with confidence. The experiments showed that interoperability between different IoT devices, standards, and protocols in a smart health system could be achieved using a specialized gateway device and that different web technologies could be used simultaneously in constrained and Internet environments. <s> BIB046 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> The emerging era of cloud services has already started and the concepts of Internet of Things (IoT) are ready to be introduced in the modern everyday life through the deployment of a large scope of novel applications. In this paper we present the concepts and ideas of the INLIFE project. The software produced by using the INLIFE platform can be seen as a hybrid of a typical e-health application and a typical recreational electronic game and this is one important differentiation of the INLIFE games and apps. The users play an attractive game like e.g. a strategy campaign or an MMORPG (Massively Multiplayer Online Role Playing Game) but the only way to collect the points or the resources they need in order to play, is to do something in their real life, namely "inlife". These valuable actions, that credit points to the players, are detected in an automatic way by using IoT sensors and actuators or by retrieving information from other monitoring systems like ADL (Activities of Daily Living) data. <s> BIB047 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> The healthcare sector is now blending with Information and Communications Technology (ICT) using Internet of Things (IoT) to potentially minimise medical errors and reduce healthcare cost. Patients are now embedded with smart devices like body sensors and wearable devices which can monitor their health without the need for a doctor in physical contact. Such smart devices have the downside of low battery power and are unable to transmit their data to the medical personnel when the patient is on the move away from the smart home/smart clinic fixed gateway. A mobile gateway is required which moves with the patient to process the smart device data without depleting the smartphone battery. This paper proposes an Intelligent and Energy Efficient SG based smartphone Gateway for healthcare smart devices (IEE5GG). In IEE5GG, the 5G architecture is adopted and the patient's smartphone is used as a gateway where multiple smart devices are connected e.g. via Bluetooth. To save energy, requests to the smartphone can either be executed on the smartphone gateway or offloaded and executed in the Mobile Edge Computing (MEC) cloud at close proximity to the smartphone in the 5G Base Station (BS) central Unit (gNB-CU) while considering the transmission power, Quality of Service (QoS), smartphone battery level and Central Processing Unit (CPU) load. Results show that the proposed IEE5GG framework saves up to 38% of energy in the healthcare mobile gateway smartphone and reduces healthcare application service time by up to 41%. <s> BIB048 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> The advances in information technology have facilitated great progress in healthcare technologies in various domains. However, these new technologies have also made healthcare data not only much larger in size but also substantially more difficult to handle and process. Moreover, because the data are created from a variety of devices within a short time span, these data are stored in different formats and created quickly, which can to a large extent be regarded as a big data problem. This paper discusses how to develop intelligent patientcentric healthcare applications and services from the perspectives of mobile computing and big data analytics technologies. This healthcare system consists of a data collection layer with a unified standard, a data management layer for distributed storage and parallel computing, and a data-oriented service layer. Furthermore, various healthcare applications are discussed to show that mobile computing and big data technologies enhance the performance of the system toward improving a humans well-being. <s> BIB049 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Developments in information and communication technologies have led to the wider usage of Internet of Things (IoT). In the modern health care applications, the usage of IoT technologies brings physicians and patients together for automated and intelligent daily activity monitoring for elderly people. Mobile devices and wearable body sensors are gradually implemented for the monitoring of personal health care and wellbeing. One of the main technologies of IoT improvements in healthcare monitoring system is the wearable sensor technology. Furthermore, integration of IoT in healthcare has led to initiate smart applications such as mobile healthcare (m-Healthcare) and intelligent healthcare monitoring systems. In this study an intelligent m-healthcare system based on IoT technology is presented to provide pervasive human activity recognition by using data mining techniques. In this paper, we present a user-dependent data mining approach for off-line human activity classification and a robust and precise human activity recognition model is developed based on IoT technology. The proposed model utilizes the dataset contains body motion and vital signs recordings for ten volunteers of diverse profile while performing 12 physical activities for human activity recognition purpose. Results show that the proposed system is superior in performance with 99.89 % accuracy and is highly effective, robust and reliable in delivering m-Healthcare services during different activities. <s> BIB050 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Facial expressions are among behavioral signs of pain that can be employed as an entry point to develop an automatic human pain assessment tool. Such a tool can be an alternative to the self-report method and particularly serve patients who are unable to self-report like patients in the intensive care unit and minors. In this paper, a wearable device with a biosensing facial mask is proposed to monitor pain intensity of a patient by utilizing facial surface electromyogram (sEMG). The wearable device works as a wireless sensor node and is integrated into an Internet of Things (IoT) system for remote pain monitoring. In the sensor node, up to eight channels of sEMG can be each sampled at 1000 Hz, to cover its full frequency range, and transmitted to the cloud server via the gateway in real time. In addition, both low energy consumption and wearing comfort are considered throughout the wearable device design for long-term monitoring. To remotely illustrate real-time pain data to caregivers, a mobile web application is developed for real-time streaming of high-volume sEMG data, digital signal processing, interpreting, and visualization. The cloud platform in the system acts as a bridge between the sensor node and web browser, managing wireless communication between the server and the web application. In summary, this study proposes a scalable IoT system for real-time biopotential monitoring and a wearable solution for automatic pain assessment via facial expressions. <s> BIB051 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> The Internet of Things (IoT) is an ecosystem that integrates physical objects, software and hardware to interact with each other. Aging of population, shortage of healthcare resources, and rising medical costs make IoT-based technologies necessary to be tailored to address these challenges in healthcare. This systematic literature review has been conducted to determine the main application area of IoT in healthcare, components of IoT architecture in healthcare, most important technologies in IoT, characteristics of cloud-based architecture, security and interoperability issues in IoT architecture and effects, and challenges of IoT in healthcare. Sixty relevant papers, published between 2000 and 2016, were reviewed and analyzed. This analysis revealed that home healthcare service was one of the main application areas of IoT in healthcare. Cloud-based architecture, by providing great flexibility and scalability, has been deployed in most of the reviewed studies. Communication technologies including wireless fidelity (Wi-Fi), Bluetooth, radio-frequency identification (RFID), ZigBee, and Low-Power Wireless Personal Area Networks (LoWPAN) were frequently used in different IoT models. The studies regarding the security and interoperability issues in IoT architecture in health are still low in number. With respect to the most important effects of IoT in healthcare, these included ability of information exchange, decreasing stay of hospitalization and healthcare costs. The main challenges of IoT in healthcare were security and privacy issues. <s> BIB052 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> With the vision of building "A Smart World", Internet of Things (IoT) plays a crucial role where users, computing systems and objects with sensing and actuating capabilities cooperate with unparalleled convenience. Among many applications of IoT, healthcare is the most emerging in today's scenario, as new technological advancement creates opportunity for early detection of illnesses, quick decision generation and even aftercare monitoring. Nowadays, it has become a reality for many patients to be monitored remotely, overcoming traditional logistical obstacles. However, these e-health applications increase the concerns of security, privacy, and integrity of medical data. For secured transmission in IoT healthcare, data that has been gathered from sensors in a patient's body area network needs to be sent to the end user and might need to be aggregated, visualized and/or evaluated before being presented. Here, trust is critical. Therefore, an end-to-end trustworthy system architecture can guarantee the reliable transmission of a patient's data and confirms the success of IoT Healthcare application. <s> BIB053 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> The Internet of Things (IoT), is a concept and a model that includes a variety of things or objects that can interact with one another through wireless connections, cable, and unique addressing schemes, and can work with others things or objects to create new services and applications to achieve common goals, especially in the biomedical field. This article proposes an m-IoT system for remote monitoring of medical signals. Medical data can be acquired at the patient's home; data are retrieved by an application on the smartphone and after an initial processing, data are transmitted to a cloud server. The family physician or hospital doctors can consult the data on this cloud server to track the patient's evolution over time. <s> BIB054 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> With all the exciting benefits of IoT in healthcare — from mobile applications to wearable and implantable health gadgets-it becomes prominent to ensure that patients, their medical data and the interactions to and from their medical devices are safe and secure. The security and privacy is being breached when the mobile applications are mishandled or tampered by the hackers by performing reverse engineering on the application leading to catastrophic consequences. To combat against these vulnerabilities, there is need to create an awareness of the potential risks of these devices and effective strategies are needed to be implemented to achieve a level of security defense. In this paper, the benefits of healthcare IoT system and the possible vulnerabilities that may result are presented. Also, we propose to develop solutions against these vulnerabilities by protecting mobile applications using obfuscation and return oriented programming techniques. These techniques convert an application into a form which makes difficult for an adversary to interpret or alter the code for illegitimate purpose. The mobile applications use keys to control communication with the implantable medical devices, which need to be protected as they are the critical component for securing communications. Therefore, we also propose access control schemes using white box encryption to make the keys undiscoverable to hackers. <s> BIB055 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Recent advances in hardware and telecommunications have enabled the development of low cost mobile devices equipped with a variety of sensors. As a result, new functionalities, empowered by emerging mobile platforms, allow millions of applications to take advantage of vast amounts of data. Following this trend, mobile health applications collect users health-related information to help them better comprehend their health status and to promote their overall wellbeing. Nevertheless, health-related information is by nature and by law deemed sensitive and, therefore, its adequate protection is of substantial importance. In this paper we provide an in-depth security and privacy analysis of some of the most popular freeware mobile health applications. We have performed both static and dynamic analysis of selected mobile health applications, along with tailored testing of each application’s functionalities. Long term analyses of the life cycle of the reviewed apps and our general data protection regulation compliance auditing procedure are unique features of the present paper. Our findings reveal that the majority of the analyzed applications do not follow well-known practices and guidelines, not even legal restrictions imposed by contemporary data protection regulations, thus jeopardizing the privacy of millions of users. <s> BIB056 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> With the rapid enhancement of medical sensors, it has gain growing interest to explore the Healthcare Internet of Things (H-IoT) due to its wide applicability for patient's health monitoring. It involves a large quantity of smart devices for sensing health parameters including temperature, heartbeat, blood pressure and patient mobility. The medial sensing devices are connected with a somehow more powerful device like cell phone to exchange health parameters based data to central repositories at cloud. During data aggregation process, the collector nodes receive duplicate values that should be eliminated to reduce communication overheads. Due to sensitive nature of data, it must provide the secure data exchange to guard against various security attacks. To resolve these issues, we have presented a Secure De-duplicated Data Dissemination (S-DDD) scheme for healthcare IoT scenario using FoG servers at the edge of the network. To remove redundancy, we have also proposed a lightweight de-duplication mechanism that includes adaptive chunking algorithm (ACA) for identifying the cut-point between two windows. Moreover, we propose a symmetric key based encryption mechanism for healthcare data exchange from smart devices towards a collector node. We have simulated our work using NS-2.35. Results prove the supremacy of our scheme over counterparts in terms of cut-point identification failure, fixed and variable length chunk size. <s> BIB057 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Medical Internet of Things, also well known as MIoT, is playing a more and more important role in improving the health, safety, and care of billions of people after its showing up. Instead of going to the hospital for help, patients’ health-related parameters can be monitored remotely, continuously, and in real time, then processed, and transferred to medical data center, such as cloud storage, which greatly increases the efficiency, convenience, and cost performance of healthcare. The amount of data handled by MIoT devices grows exponentially, which means higher exposure of sensitive data. The security and privacy of the data collected from MIoT devices, either during their transmission to a cloud or while stored in a cloud, are major unsolved concerns. This paper focuses on the security and privacy requirements related to data flow in MIoT. In addition, we make in-depth study on the existing solutions to security and privacy issues, together with the open challenges and research issues for future work. <s> BIB058 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Wireless sensor networks (WSNs) are widely used in the area of health informatics. Wireless and wearable sensors have become prevalent devices to monitor patients at risk for chronic diseases. This helps ascertain that patients comply by the treatment plans and also safeguard them during sudden attacks. The amount of data that are gathered from various sensors is numerous. In this paper, we propose to use fog computing to help monitor patients suffering from chronic diseases such that the data are collected and processed in an efficient manner. The main challenge would be to only sort out context-sensitive data that are relevant to the health of the patient. Just having a simple sensor-to-cloud architecture is not viable, and this is where having a fog computing layer makes a difference. This increases the efficiency of the entire system, as it not only reduces the amount of data that is transported back and forth between the cloud and the sensors but also eliminates the risk that a data center failure bears with it. We also analyze the security and deployment issues of this fog computing layer. <s> BIB059 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> AbstractIn recent years, “seeing a doctor is difficult and expensive” has become China’s biggest medical problem. The health care system based on hospital and specialist has been unable to meet the growing demand for Chinese people on health care. Therefore, the government has vigorously advocated the development of community medical service, and institutions for which has been the focus of the medical system reform. Since community hospitals are the most convenient places for health service, the quality of which is demanded to be constantly increased. With the rapid development of Internet, cloud computing and other new information technologies, the intelligent medical service with prediction model is very promising for its development. It is necessary for us to find and solve the problems in developing the medical service in the intelligent community so as to realize the sustainable development of the community medical service. <s> BIB060 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Among the extensive and impressive collection of applications enabled by IoT, smart and interactive healthcare is a particularly important one. To gather rich information indicator of our mental and physical health, IoT based sensors are either worn on the body or embedded in the living environment. Moreover, by incorporating the mobile computing technology in IoT based healthcare systems, the reactive care system can be transformed to proactive and preventive healthcare systems. Relative to this context, a cloud-centric IoT based smart student m-healthcare monitoring framework is proposed. This framework computes the student diseases severity by predicting the potential disease with its level by temporally mining the health measurements collected from medical and other IoT devices. To effectively analyze the student healthcare data, an architectural model for smart student health care system has been designed. In our case study, health dataset of 182 suspected students are simulated to generate relevant waterborne diseses cases. This data is further analyzed to validate our model by using k-cross validation approach. Pattern based diagnosis scheme is applied using various classification algorithms and then results are computed based on accuracy, sensitivity, specificity and response time. Experimental results show that Decision tree (C4.5) and k-neighest neighbour algorithms perform better as compared to other classifiers in terms of above mentioned parameters. Moreover, the proposed methodology is effective in decision making by delivering time sensitive information to caretaker or doctor within specific time. Lastly, the temporal granule pattern based presentation reterives effective diagnosis results for the proposed system. <s> BIB061 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> The Internet of Things (IoT) is one of the most promising technologies for the near future. Healthcare and well-being will receive great benefits with the evolution of this technology. This paper presents a review of techniques based on IoT for healthcare and ambient-assisted living, defined as the Internet of Health Things (IoHT), based on the most recent publications and products available in the market from industry for this segment. Also, this paper identifies the technological advances made so far, analyzing the challenges to be overcome and provides an approach of future trends. Through selected works, it is possible to notice that further studies are important to improve current techniques and that novel concept and technologies of IoHT are needed to overcome the identified challenges. The presented results aim to serve as a source of information for healthcare providers, researchers, technology specialists, and the general population to improve the IoHT. <s> BIB062 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Abstract The development of Information and Communications Technologies (ICT) is revolutionizing our lives. The advancement in the Internet of Things paradigm allows small devices with sensing, processing, and communication capabilities to be designed, which enable the development of sensors, embedded devices, and other equipment ready to understand the environment. Nowadays, a promising trend in healthcare is to move routine medical checks and other healthcare services from the hospital to the home environment. Moreover, hospitals can reduce their burden by shifting the easy tasks to the home environment. Therefore, it is urgent that a trending technology is implemented in the healthcare industry to develop advanced healthcare techniques and technologies and use them for the easy monitoring of patients from anywhere in the world. In the proposed system, we have developed a prototype model for healthcare monitoring systems that uses the Internet of Things (IoT) and cloud computing. These technologies allow monitoring and analyzing of various health parameters in real time. The proposed IoT enabled system consists of various bio-sensors attached to the patients. Sensors read and record the data and transmit it to the database, i.e., the cloud server. A cloud server is responsible for processing, analyzing, and decision making of the stored data. A web portal is hosted by the cloud that acts as an interface for the different actors associated with the healthcare system. The communication server is also managed by the cloud to store different transaction records of the medical actors. <s> BIB063 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Abstract Advanced healthcare applications are needed in current systems. With the exponential increases in population and technology, the number of accidents and medical conditions are also drastically increasing. The demand for many types of smart technology in the medical field has become a necessity. In keeping with the future technologies and trends, we are proposing a smart ambulance to be the next generation of technology used to reduce the mortality rate caused by delays in travel time to hospital for the patient. This application is associated with technologies like big data and the Internet of Things for efficient database management and patient information dissemination, so that their information is maintained in an organized manner at every location needed. Delays in travel time is one of the main issues causing severity for a patient. The delay in travel time may be due to traffic conditions like traffic jams, road issues, and the hospital location or location of patient. This delay may create adverse situations for critical patients and sometimes may even cause death. This chapter focuses on this issue and proposes a novel approach with a smart ambulance that is equipped with Internet of Things technology used to disseminate the information to a main center or hospital where doctors can treat the patient using nurses or medics in the ambulance equipped through wireless body sensor technology (WBSN). The information regarding treatment is stored in a database and can be further stored and processed as per requirements through big data technology using Hadoop for future requirements. <s> BIB064 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Abstract Advances in smart medical devices and pervasive systems are turning connected healthcare into a prospering platform for pervasive healthcare. The Internet of Things (IoT), smart sensors, and wearables have augmented the healthcare system, enabling remote monitoring and supporting the medical condition of the patient in and out of clinics. This chapter aims to serve as a brief primer on the development of smart and pervasive healthcare systems. The chapter starts with an overview of IoT, smart sensors, and pervasive systems and also their interrelationships. The differences between IoT and pervasive systems are meticulously laid out to clear any confusion between these two computing paradigms. The chapter highlights the challenges faced by today's healthcare systems and analyzes how to overcome these with the help of pervasive healthcare. It discusses the basics of mobile and pervasive healthcare, including context-aware and connected healthcare, while distinguishing them from telemedicine. It elaborates on the role of IoT in healthcare while discussing a number of sensors and smart devices used in healthcare, fitness, and medical care units. The benefits of and challenges involved in pervasive healthcare are reviewed comprehensively. Several real-life applications and use cases of IoT and smart sensors are presented, showing the effectiveness of pervasive healthcare. The chapter also presents an assessment of the current and future IoT healthcare market along with a listing of the key players. <s> BIB065 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Through the propagation of technology in recent years, people communicate in a range of ways via multimedia. The use of multimedia technique in healthcare system also makes it possible to store, process and transfer the patient’s data presented in variety of forms such as images, text and audio through online using various smart objects. Healthcare organizations around the world are transforming themselves into more efficient, coordinated and user-centered systems through various multimedia techniques. However, the management of huge amount data such as reports and images of every person leads to increase the human efforts and security risks. In order to overcome these issues, IoT in healthcare enhances the quality of patients care and reduce the cost by allocating the medical resources in an efficient way. However, a number of threats can occur in IoT devices initiated by various intruders. Sometimes, in order to make their personal profit, even though the medical shop or pathology labs are not of good reputation, the doctors forced the patients to do the lab tests, or buy the medicines from those organizations only. Therefore, security should be at the staple of outlook in IoT elucidations. In order to prevent these issues, Blockchain technology has been encountered as the best technique that provides the secrecy and protection of control system in real time conditions. In this manuscript, we will provide a security framework of healthcare multimedia data through blockchain technique by generating the hash of each data so that any change or alteration in data or breaching of medicines may be reflected in entire blockchain network users. The results have been analyzed against conventional approach and validated with improved simulated results that offer 86% success rate over product drop ratio, falsification attack, worm hole attack and probabilistic authentication scenarios because of Blockchain technique. <s> BIB066 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Abstract Internet of things is a new pattern in wireless communications of things. The basic theory of IoT is the comprehensive presence of different kinds of things in surrounding environment. The three main dimensions of data security in the Internet are integration, privacy and availability. One of the major tools for maintaining the security of Internet medical things is biometric technology. Biometric systems are used in different fields of the smart healthcare. In this regard, we also need a means for identifying people’s identity based on their physical characteristics; the use of biometric data is absolutely critical for IoT functions. Considering this emerging pattern, everything integrated will connect to a virtual chain of connected things with address in the dynamic world of networks. Given the importance of secure connections of things to the Internet and access to them, biometric features are used as identifiers; because they cannot be borrowed, bought, forgotten and they are very difficult to forge or copy. The smart healthcare and IoT resulted in the emergence of a new standard in the applications of biometric data. In this paper, we present a new standard for applying biometric technology to develop smart healthcare using IoT which includes high capacity to access data in addition to being easy to use. In this paper, we reached a more secure way of accessing IoT based on biometrics and fast identity standard by which we can expect significant advances in smart healthcare systems. <s> BIB067 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Abstract Due to the emergence of the Internet of Things (IoT) era and the rapid technological advancements of wireless communications, Wireless body area network (WBAN) has been introduced as a pioneering key technology for the next generation ubiquitous healthcare systems. However, the open and dynamic nature of wireless sensor technologies makes both inter-sensor and sensor-controller communications vulnerable to several potential attacks, which significantly undermine the WBAN's efficiency and impede its further flourish. Specifically, the patient's sensitive data may be eavesdropped and linked to the identities of the sensors in transmission and thus revealing the patient's medical conditions. Therefore, in such resource-impoverished environment, anonymous authentication for sensor nodes while considering their stringent resource constraints is a paramount security concern. In this paper, we propose a context-aware and lightweight anonymous authentication and key agreement scheme for WBAN applications in emergency and normal situations. The proposed scheme provides selective anonymous authentication between nodes in WBAN while taking into account the dynamic context changes. Formal security analysis using the widely accepted Real-Or-Random (ROR) model, the Burrows-Abadi-Needham (BAN) logic, and the automated security protocol verification (Scyther) tool shows that the proposed scheme is secure against known attacks. From a performance perspective, we prove that the proposed key agreement protocols outperform benchmark schemes in terms of communication and computation overhead. <s> BIB068 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Abstract The world has recently witnessed the emergence of huge technological growth in the field of data transmission and smart living through various modes of information and communication technology. For example, edge computing has taken a leading role to embark upon the problems related to the internetwork bandwidth minimization and service latency reduction. Inclusion of small microcontroller chips, smart sensors and actuators in the existing socio-economic sectors have paved the Internet of Things (IoT) to act upon the dissemination of smart services to the end users. Thus, a strong need of understating of the industrial elements of edge computing has become necessary that can share the mutual goal while assimilating with the IoT. This paper advocates the crucial role of industrial standards and elements of the edge computing for the dissemination of overwhelming augmented user experience with conjunction with the IoT. First, we present the taxonomical classification and review the industrial aspects that can benefit from both of the IoT and edge computing scenario, then discuss about each of the taxonomical components in detail. Second, we present two practically implemented use cases that have recently employed the edge-IoT paradigm together to solve urban smart living problems. Third, we propose a novel edge-IoT based architecture for e-healthcare i.e. EH-IoT and developed a demo test-bed. The test results showed promising results towards minimizing dependency over IoT cloud analytics or storage facility. We conclude with discussion on the various parameters such as, architecture, requirement capability, functional issues, and selection criteria, related to the survival of edge-IoT ecosystem incorporation. <s> BIB069 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Abstract Edge-of-Things (EoT)-based healthcare services are forthcoming patient-care amenities related to autonomic and persuasive healthcare, where an EoT broker usually works as a middleman between the Healthcare Service Consumers (HSC) and Computing Service Providers (CSP). The computing service providers are the edge computing service providers (ECSP) and cloud computing service provider (CCSP). Sensor observations from a patient’s body area networks (BAN) and patients’ medical and genetic historical data are very sensitive and have a high degree of interdependency. It follows that EoT based patient monitoring systems or applications are tightly coupled and require obstinate synchronization. Therefore, this paper proposes a portfolio optimization solution for the selection of virtual machines (VMs) of edge and/or cloud computing service providers. The dynamic pricing for an EoT computation service is considered by the EoT broker for optimal VM provisioning in an EoT environment. The proposed portfolio optimization solution is compared with the traditional certainty equivalent approach. As the portfolio optimization is a centralized solution approach, this paper also proposes an alternating direction method of multipliers (ADMM) based distributed provisioning method for the healthcare data in the EoT computing environment. A comparative study shows the cost-effective provisioning for the healthcare data through portfolio optimization and ADMM methods over the traditional certainty equivalent and greedy approach, respectively. <s> BIB070 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Abstract Context: A fog computing architecture that is geographically distributed and to which a variety of heterogeneous devices are ubiquitously connected at the end of a network in order to provide collaboratively variable and flexible communication, computation, and storage services. Fog computing has many advantages and it is suited for the applications whereby real-time, high response time, and low latency are of the utmost importance, especially healthcare applications. Objectives: The aim of this study was to present a systematic literature review of the technologies for fog computing in the healthcare IoT systems field and analyze the previous. Providing motivation, limitations faced by researchers, and suggestions proposed to analysts for improving this essential research field. Methods: The investigations were systematically performed on fog computing in the healthcare field by all studies; furthermore, the four databases Web of Science (WoS), ScienceDirect, IEEE Xplore Digital Library, and Scopus from 2007 to 2017 were used to analyze their architecture, applications, and performance evaluation. Results: A total of 99 articles were selected on fog computing in healthcare applications with deferent methods and techniques depending on our inclusion and exclusion criteria. The taxonomy results were divided into three major classes; frameworks and models, systems (implemented or architecture), review and survey. Discussion: Fog computing is considered suitable for the applications that require real-time, low latency, and high response time, especially in healthcare applications. All these studies demonstrate that resource sharing provides low latency, better scalability, distributed processing, better security, fault tolerance, and privacy in order to present better fog infrastructure. Learned lessons: numerous lessons related to fog computing. Fog computing without a doubt decreased latency in contrast to cloud computing. Researchers show that simulation and experimental proportions ensure substantial reductions of latency is provided. Which it is very important for healthcare IoT systems due to real-time requirements. Conclusion: Research domains on fog computing in healthcare applications differ, yet they are equally important for the most parts. We conclude that this review will help accentuating research capabilities and consequently expanding and making extra research domains. <s> BIB071 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Abstract Connectivity and interoperability are vital design characteristics of any Information and Communication Technology (ICT) infrastructure. Today, Internet of Things (IoT) technologies are being integrated with various types of medical systems in order to provide cost-effective, ubiquitous, on-time healthcare services to people who need them. Presently, the healthcare system has evolved into a complex ecosystem which consists of a wide range of devices, databases, communication technologies that work together to provide different healthcare services. In many healthcare information systems, these technologies and resources need to interact and collaborate with or without human intervention to enable the healthcare system to achieve its goal of providing efficient healthcare services. The Internet of Things technology has the potential to provide connectivity for a global network of billions of devices and it can therefore be harnessed to improve the quality and delivery of healthcare services. We explore and discuss how IoT-based connectivity can deliver improved healthcare solutions. We describe IoT-based healthcare solutions that have been implemented recently. Finally, we discuss future opportunities that can be explored for improved healthcare solutions based on the IoT concept. <s> BIB072 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Abstract Currently, we are experiencing a technological shift, which is expected to change the way we program and interact with the world. Cloud computing and mobile computing are two prominent research areas that have already had such an impact. The Internet of Things (IoT), which is concerned with building a network of Internet-enabled devices to promote a smart environment, is another promising area of research. Numerous emerging computing paradigms related to those areas of research and/or their intersections have come into play. These include Mobile Cloud Computing (MCC), cloudlet computing, mobile clouds, mobile IoT computing, IoT cloud computing, fog computing, Mobile Edge Computing (MEC), edge computing, the Web of Things (WoT), the Semantic WoT (SWoT), the Wisdom WoT (W2T), opportunistic sensing, participatory sensing, mobile crowdsensing, and mobile crowdsourcing. Unfortunately, those paradigms suffer from the lack of standard definitions, and so we frequently encounter a single term referring to various paradigms or several terms referring to a single paradigm. Accordingly, this paper attempts to disambiguate those paradigms and explain how and where they fit in the above three areas of research and/or their intersections before it becomes a serious problem. They are tracked back to their inception as much as possible. This is in addition to discussing research directions in each area. The paper also introduces technologies related to the IoT such as ubiquitous and pervasive computing, the Internet of Nano Things (IoNT), and the Internet of Underwater Things (IoUT). <s> BIB073 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Abstract Internet of Things (IoT) on the Wireless Body Area Network (WBAN) for healthcare applications is an operative scenario for IoT devices that has gained attention from vast research fields in recent years. The IoT connects all subjects and the healthcare system seamlessly. This paper describes the WBAN based IoT healthcare system and reviews the state-of-the-art of the network architecture topology and applications in the IoT based healthcare solutions. Moreover, this paper analyzes the security and the privacy features consisting of privacy, authentication, energy, power, resource management, Quality of Services and the real-time wireless health monitoring that are quite problematic in many IoT healthcare architectures. Because, system architecture is not well-defined, data restriction and its integrity preservation is still a challenge. At present 90% of the information available is acquired in the recent two years. This survey mainly aims at analyzing healthcare purpose which is based on digital healthcare system. Further, it reports many IoT and the e-healthcare policies and systems that decide how to ease all bearable development. Thus, the overall system provides large possibilities for future research based on IoT healthcare system. Finally, research gaps are reviewed and the possible future aspects have been discussed. <s> BIB074 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Abstract Information technology has recently seen a huge progress in innovative healthcare technologies that rendered healthcare data bigger. Connectivity on 7/24 basis between human to device and device to device have a crucial role in individuals’ lives. Therefore, Mobile Cloud System (MCC) has become an indispensable tool. Parallel with the rapid developments in the Internet of Things, convergence has become an important issue. Our proposed method, accordingly, can be converged with mobile-cloud environments with cloud computing in handling healthcare information. This study uses Virtual Dedicated Server (VDS) as 4 VCPU and 8 GB RAM and proposes a model based on the Android based mobile phones for stroke patients with cardioembolic (689) and cryptogenic (528) subtypes. The system set up through this study has two basic application elements which are mobile application and server application. Artificial Neural Network (ANN) module is beneficial for classifying the two stroke subtypes while server application is used for saving the data from the patients. Accordingly, our model guarantees availability, security, and scalability as a system for stroke patients applying Stroke dataset for ANN algorithm, Multilayer Perceptron Algorithm (MLP), which has been done for the first time in literature with big data in this scope. The main contributions are: (1) The outcomes will display an individual unique social insurance framework. (2) The outcomes will be utilized for the distinguishing proof of stroke-related data to be gathered by cell phones that are Android based. (3) Stroke patients will find out about their condition of well-being through an ANN application programming interface, which will provide a sort of organization for the patients. Overall, an efficient and user-friendly stroke determination human services framework has been presented through this Healthcare System for patients. <s> BIB075 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Abstract Emerging trends in mobile edge computing for developing the efficient healthcare application such as, remote monitoring of the patients with central electronics clouds (e-Clouds) and their increasing voluminous multimedia have caught the attention of everyone in industry and academia. So, clear visualization, big sensing level, and better quality of service (QoS) is the foremost priority. This paper proposes the window-based Rate Control Algorithm (w-RCA) to optimize the medical quality of service (m-QoS) in the mobile edge computing based healthcare by considering the network parameters for instance, peak-to-mean ratio (PMR), standard deviation (Std.dev), delay and jitter during 8 min medical video stream named “Navigation to the Uterine Horn, transection of the horn and re-anastomosis’ transmission over 5 G networks. The performance of the proposed w-RCA is evaluated and compared with the conventional battery smoothing algorithm (BSA) and Baseline by using MPEG-4 encoder for optimizing m-QoS at the source or the server side. The experimental results demonstrate that the w-RCA outperforms the BSA and Baseline by optimizing QoS in remote healthcare application i.e., Tele-surgery. Besides, it is observed and analyzed that w-RCA produces better and effective results at small buffer and window sizes unlike BSA and Baseline by adopting large buffer size during QoS optimization. <s> BIB076 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Abstract Health informatics and telematics have been drastically influenced by big data of IoT devices. In this paper, we conducted a review of scientific literature and mapping of research trends on IoT Big Data Analytics paradigm (IoTBDA) in healthcare industry. The goal is to identify how the IoT BDA paradigm has impacted the design, development, and application of IoT based innovations in healthcare services. We conducted a qualitative and quantitative review of 46 papers on IoTBDA, and a quantitative review of 84 papers on fog computing in the healthcare industry. This study shows that IoT BDA has impacted the acquisition, storage, retrieval, and use of information in healthcare industry. Consequently, three derivers of IoT BDA convergence are identified. The first driver is computing; which is emerged as a response to reduce data congestion and inefficiencies of emergency systems. As the co-word analysis shows, issues such as security, privacy and data transfer are dominant scientific topics within the domain of fog computing. The second driver of convergence is the storage of IoT big data. This has led the researchers to classify IoT data to critical and non-critical data; while the critical data is sent to fog systems; non-critical data is sent to centralized cloud systems. The third driver of convergence is data abstraction. The study shows that IoT BDA has sparked the emergence of novel health applications and systems. This paper extends the literature on health informatics and telematics and our understanding of everyday practice of these systems in healthcare contexts. Since IoT BDA and fog computing in healthcare are new fields, findings of this study can act as a basis for future studies to determine novel research opportunities on IoT BDA. <s> BIB077 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> The emergence of the internet of things (IoT) has drastically influenced and shaped the world of technology in the contexts of connectivity, interconnectivity, and interoperability with smart connected sensors, objects, devices, data, and applications. In fact, IoT has brought notable impacts on the global economy and human experience that span from industry to industry in a variety of application domains, including healthcare. With IoT, it is expected to facilitate a seamless interaction and communication of objects (devices) with humans in the environment. Therefore, it is imperative to embrace the potentials and benefits of IoT technology in healthcare delivery to ensure saving lives and to improve the quality of life using smart connected devices. In this paper, we focus on the IoT based healthcare system for cancer care services and business analytics/cloud services and also propose the adoption and implementation of IoT/WSN technology to augment the existing treatment options to deliver healthcare solution. Here, the business analytics/cloud services constitute the enablers for actionable insights, decision making, data transmission and reporting for enhancing cancer treatments. Furthermore, we propose a variety of frameworks and architectures to illustrate and support the functional IoT-based solution that is being considered or utilized in our proposed smart healthcare solution for cancer care services. Finally, it will be important to understand and discuss some security issues and operational challenges that have characterized the IoT-enabled healthcare system. <s> BIB078 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> ABSTRACTThe Internet of Things as envisioned – that is, an interconnected, interdependent and interoperable networked world – creates inherent dangers. Among these dangers, is the fact that it faci... <s> BIB079 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> In the healthcare industry, the biggest difficulties (Wang et al., 2018) lie in patient big data, medical equipment and instruments, hospital and laboratory information systems. The trend of applying the IoT along with other high technologies such as big data and artificial intelligence in different industries are attracting the business community's interest in Vietnam. Nowadays, the Internet of Things and big data can improve the business models of Prognostic Analysis data service providers, which seek to provide the same service at lower cost for Healthcare Organizations. Therefore, Ecomedic Medical System must design their service system to help both public and private Healthcare Organizations in Vietnam to increase their service reliability, pre-emptive conflict handling, and customer orientation (mindfulness-based reliability approach). This paper implicates the approaching process for a startup to build the business model in the field of the healthcare industry. <s> BIB080 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> In recent years, hospitals have spent a significant amount on technologically advanced medical equipment to ensure not only the accuracy and reliability of medical devices, but also the required level of performance. Although medical devices have been revolutionized thanks to technology advancements, outdated maintenance strategies are still used in healthcare systems and services. Also, maintenance plans must often be developed for a mixture of advanced and obsolete technologies being used in medical devices. Therefore, most healthcare organizations have been facing the challenge of detecting equipment-related risks that would have been alleviated if effective integrity monitoring mechanisms were in place. Additionally, continuously growing volumes of large data streams, collected from sensors and actuators embedded into network-enabled sensors and microprocessors of medical equipment, require a scalable platform architecture to support the necessary storage and real-time processing of the data for device monitoring and maintenance. This paper investigates the issue of maintaining medical devices through an Internet-of-Things (IoT)-enabled autonomous integrity monitoring mechanism for those devices generating large-scale real-time data in healthcare organizations. The proposed architecture that includes an integrity monitoring framework and a data analytics module ensures the complete visibility into medical devices and provides a facility to predict possible failures before happening. <s> BIB081 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> ABSTRACTAutonomous computing, communication, and collaboration among devices have their importance to transform the digital world. Emerging technology device-to-device (D2D) communication has a gre... <s> BIB082 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> papers <s> Cloud Computing (CC) and the Internet of Things (IoT) have emerged as new platforms in the ICT revolution of the twenty-first century. The adoption of the CloudIoT paradigm in the healthcare field can bring several opportunities to medical IT, and experts believe that it can significantly improve healthcare services and contribute to its continuous and systematic innovation. This paper presents a comprehensive review of the current literature on integration of CC and IoT to solving various problems in healthcare applications such as smart hospitals, medicine control, and remote medical services. Also, a brief introduction to cloud computing and internet of things with an application to health care is given. This paper presents a new concept of the integration of CC and IoT for healthcare applications, which is what we; call the CloudIoT-Health paradigm. The term CloudIoT-Health and some key integration issues are presented in this paper to offer a practical vision to integrate current components of CC and the IoT in healthcare applications. Also, this paper aims to present the state of the art and gap analysis of different levels of integration components, analyzing different existing proposals in CloudIoT-Health systems. Finally, related researches of CC and IoT integration for healthcare systems have been reviewed. Challenges to be addressed and future directions of research are identified, and an extensive bibliography is presented. <s> BIB083
Step-2 Selection based on title and abstract 313 papers Step-3 Selection based on full reading Step-4 Quality assessment Step-5 Snowballing Ref#  Title  1 [10] A healthcare monitoring system using random forest and internet of ings (IoT) 2 BIB063 Smart Healthcare: An Approach for Ubiquitous Healthcare Management Using IoT 3 BIB064 Smart ambulance system using concept of big data and internet of things 4 BIB065 Internet of things, smart sensors, and pervasive systems: Enabling connected and pervasive healthcare 5 BIB066 A hybrid framework for multimedia data processing in IoT-healthcare using blockchain technology 6 BIB067 An approach to develop the smart health using Internet of ings and authentication based on biometric technology 7 BIB068 Context-aware anonymous authentication protocols in the internet of things dedicated to e-health applications 8 BIB069 Edge computing for Internet of ings: A survey, e-healthcare case study and future direction 9 BIB070 Edge-of-things computing framework for cost-effective provisioning of healthcare data 10 BIB071 Enabling technologies for fog computing in healthcare IoT systems 11 BIB072 Harnessing the power of Internet of ings based connectivity to improve healthcare 12 BIB073 Internet of ings (IoT), mobile cloud, cloudlet, mobile IoT, IoT cloud, fog, mobile edge, and edge emerging computing paradigms: Disambiguation and research directions 13 BIB074 Internet of ings: A survey of enabling technologies in healthcare and its applications 14 BIB075 Mobile cloud computing based stroke healthcare system 15 BIB076 Mobile edge computing based QoS optimization in medical healthcare applications 16 BIB077 Paradigm of IoT big data analytics in the healthcare industry: A review of scientific literature and mapping of research trends 17 BIB034 Policy-based access control for constrained healthcare resources 18 BIB078 Smart integrated IoT healthcare system for cancer care 19 BIB079 Enabling mass surveillance: data aggregation in the age of big data and the Internet of ings 20 BIB080 Applying a mindfulness-based reliability strategy to the Internet of ings in healthcare-A business model in the Vietnamese market 21 BIB035 A Smart Healthcare Monitoring System Using Smartphone Interface 22 BIB036 A study on medical Internet of ings and Big Data in personalized healthcare system 23 BIB081 An IoT architecture for preventive maintenance of medical devices in healthcare organizations 24 BIB037 An IOT Based Smart Mobile Health Monitoring System 25 BIB038 Context-aware pseudonymization and authorization model for IoT-based smart hospitals 26 BIB039 EEG-based transceiver design with data decomposition for healthcare IoT applications 27 BIB040 Effectiveness of IoT in the Medical Field with Enhanced Features 28 BIB041 Exploring temporal analytics in fog-cloud architecture for smart office healthcare 29 BIB042 Fog assisted-IoT enabled patient health monitoring in smart homes 30 BIB043 Contextual activity based Healthcare Internet of ings, Services, and People (HIoTSP): An architectural framework for healthcare monitoring using wearable sensors 31 BIB044 Fog computing for Healthcare 4.0 environment: Opportunities and challenges 32 BIB045 Designing an Internet-of-ings (IoT) and sensor-based in-home monitoring system for assisting diabetes patients: iterative learning from two case studies 33 BIB046 Framework for E-Health Systems in IoT-based environments 34 BIB047 InLife: a platform enabling the exploitation of IoT and gamification in healthcare 35 BIB048 Intelligent and Energy Efficient Mobile Smartphone Gateway for Healthcare Smart Devices Based on 5G 36 BIB049 Intelligent healthcare systems assisted by data analytics and mobile computing 37  IOT and AI in healthcare: A systematic literature review 38 BIB050 IoT based mobile healthcare system for human activity recognition 39 BIB051 IoT-based remote pain monitoring system: From device to cloud platform 40 BIB052 e application of internet of things in healthcare: a systematic literature review and classification 41  Towards energy-aware fog-enabled cloud of things for healthcare 42 BIB053 Trust based Security Solution for Internet of ings Healthcare Solution: An End-to-End Trustworthy Architecture 43 BIB054 Ubiquitous Healthcare System Based on the Sensors Network and Android Internet of ings Gateway 44 BIB055 Healthcare IoT: Benefits, vulnerabilities and solutions 45 BIB056 Security and privacy analysis of mobile health applications 46  Security and Privacy Issues with IoT in Healthcare 47 BIB057 FoG assisted secure De-duplicated data dissemination in smart healthcare IoT 48 BIB058 Security and privacy in the medical internet of ings: a review 49 BIB082 Device-to-device communication based IoT system: benefits and challenges 50  From A to Z: Wearable technology explained 51 BIB059 Fog computing-based IoT for health monitoring system 52 BIB060 Intelligent community medical service based on Internet of ings  A systematic review on recent advances in m-health systems: deployment architecture for emergency response 58 BIB017 Agent Technology Based Modelization Systems for Healthcare 59  Advanced internet of ings for personalised healthcare systems: A survey 60 BIB018 An IoT based robust healthcare model for continuous health monitoring 61 BIB061 Cloud-centric IoT based student healthcare monitoring framework 62 BIB019 Design and implementation of smart healthcare system using IoT 63 BIB062 Enabling technologies for the Internet of Health ings 64 BIB020 Enhancing healthcare using m-care box (monitoring non-compliance of medication) 65 BIB021 Enterprise architecture of mobile healthcare for large crowd events 66 BIB022 Health care monitoring system in Internet of ings (IoT) by using RFID 67 BIB023 Integrated IoT medical platform for remote healthcare and assisted living 68  Internet of ing based healthcare monitoring system 69 BIB024 IoT based low-cost distant patient ECG monitoring system 70 BIB025 IoT based smart health care system using CNT electrodes (for continuous ECG monitoring) 71 BIB026 IoT Interface for Healthcare applications 72 BIB027 Ethics of the health-related Internet of ings: a narrative review 73 BIB028 On Design of a Fine-Grained Access Control Architecture for Securing IoT-Enabled Smart Healthcare Systems 74 BIB029 An intelligent and secure health monitoring scheme using IoT sensor based on cloud computing 75 BIB083 e impact of the hybrid platform of Internet of ings and cloud computing on healthcare systems: Opportunities, challenges, and open problems 76 BIB030 Highly secure and efficient architectural model for IoT based health care systems 77  Internet of ings: architectures, protocols, and applications 78 BIB031 Semantic interoperability in heterogeneous IoT infrastructure for healthcare 79 BIB032 Internet of ings meets mobile health systems in smart spaces: An overview 80  A conceptual framework for IoT-based healthcare system using cloud computing 81 BIB006 A fog based middleware for automated compliance with OECD privacy principles in internet of healthcare things 82 BIB007 A novel and secure IoT based cloud centric architecture to perform predictive analysis of users activities in sustainable health centres 83 BIB008 A personal health index system with IoT devices 84 BIB009 A survey on IoT applications, security challenges and counter measures 85 BIB010 An IoT-cloud based wearable ECG monitoring system for smart healthcare 86 BIB011 Automated patient appointment reminder for cross-platform mobile application 87 BIB012 Effective ways to use Internet of ings in the field of medical and smart health care 88 BIB013 Keynote Talk: Harnessing Health IOT for Smart Healthcare 89 BIB014 Mobile health (m-health) system in the context of IoT 90  e Internet of ings in healthcare: An overview 91  Patient monitoring system based on Internet of ings 92 BIB033 A comprehensive and scalable middleware for ambient-assisted living based on cloud computing and Internet of ings 93 BIB015 IoT-based surveillance system for ubiquitous healthcare 94 BIB016 IoT healthcare analytics: e importance of anomaly detection 95 BIB002 Improving the validity of lifelogging physical activity measures in an Internet of ings environment 96 BIB003 Internet of nano-things healthcare applications: Requirements, opportunities, and challenges 97  Internet of ings (IoT) driven U-healthcare system architecture 98 BIB004 SmartHealth-NDNoT: Named Data Network of ings for Healthcare Services 99  Privacy and security in mobile health apps: a review and recommendations 100  e Internet of ings for health care: a comprehensive survey 101 BIB005 An implementation of IoT for healthcare 102  Internet of ings (IOT) enabled smart autonomous hospital management system-A real world health care use case with the technology drivers 103  Internet of ings: Remote patient monitoring using web services and cloud computing 104 BIB001 Opportunities and challenges of the Internet of ings for healthcare: Systems engineering perspective  Wireless Communications and Mobile Computing