Multimedia Internet of Things: A Comprehensive Survey <s> F. COMPUTATION RELATED ISSUES <s> Use of Wireless Multimedia Sensor Networks has significantly revolutionized the field of communication and has provided an ease for researchers to get a clear insight of areas which were inaccessible to human beings. The concerning part of the Wireless Multimedia Sensor Networks is its limited living period or energy constraint, small size, limited bandwidth, low processing speed and inaccessibility of recovery from inaccessible areas. To overcome the issue of increasing the life period of Wireless Multimedia Sensor Nodes and without missing any task deadline that is being performed by each sensor node, an energy efficient scheduling mechanism has been proposed that uses the concept of lightweight processors, without compromising the deadlines and limiting the overall size of the sensor node. The idea is to cut down the processor into two parts the main processor or primary processor and the secondary lightweight processor or we have named it as by-processor. The main processor contains the major part of the processor, whereas the lightweight processor or by processor contains a small portion, which comes into operation only when a chance of missing a deadline is hit. It uses the concept of dynamic voltage and frequency scaling as proposed in earlier versions with fixed priorities in lieu of deadlines, with the addition of lightweight processors that ensures the integrity of deadlines that are being missed. This technique will ensure and maintained Quality of Service (QoS) and also it increases the life period of Wireless Multimedia Sensor Nodes without affecting the size of each sensor node. <s> BIB001 </s> Multimedia Internet of Things: A Comprehensive Survey <s> F. COMPUTATION RELATED ISSUES <s> Multimedia cloud computing has appeared as a very attractive environment for the business world in terms of providing cost-effective services with a minimum of entry costs and infrastructure requirements. There are some architecture proposals in the related literature, but there is no multimedia cloud computing architecture with hybrid features specifically designed for mobile devices. In this article, we propose a new multimedia hybrid cloud computing architecture and protocol. It merges existing private and public clouds and combines IaaS, SaaS and SECaaS cloud computing models in order to find a common platform to deliver real time traffic from heterogeneous multimedia and social networks for mobile users. The developed protocol provides suitable levels of QoS, while providing a secure and trusted cloud environment. <s> BIB002
The difference between multimedia data and scalar data has been shown in Table 1 . Processing and analysis of such high power consumption, and processing data requires efficient computing models for minimizing the network overheads and energy consumptions BIB001 . Multimedia processing is dependant on multiple factors, i.e., feature extraction, prioritization, network coding, compression, efficient routing, and MAC protocols. The limitation of cloud computing and compensation offered by Fog/Edge computing is detailed in the previous sections BIB002 . However, minimal work has been performed in SDNs as multimedia computing in IoT. Due to the diverse nature of multimedia applications, applications dependent software-defined computing architectures are required to offer interoperability in HetNets. To increase network throughput with minimum energy utilization, the intelligent transmission of only meaningful information to cloud and fog/edge is required for processing.