Information-centric mobile caching network frameworks and caching optimization: a survey <s> Context-aware mobile caching integrating with ICN <s> Opportunistic Sensing (OS) refers to a paradigm for signal and information processing in which a network of sensing systems can automatically discover and select sensor platforms based on an operational scenario. In this paper, we propose theory and algorithms of OS for advancing autonomous sensing that not only ensures effective utilization of sensing assets but also provides robust optimal performance. We propose an information theoretical criterion for opportunistic sensing in wireless sensor networks and derive an algorithm for efficient OS. We apply our OS algorithm to radar sensor networks for sense-through-foliage target detection, and show that our OS algorithm works very well and much better than other approach. <s> BIB001 </s> Information-centric mobile caching network frameworks and caching optimization: a survey <s> Context-aware mobile caching integrating with ICN <s> Spectrum sensing based dynamic spectrum sharing is one of the key innovative techniques in future 5G communications. When realistic mobile scenarios are concerned, the location of primary user (PU) is of great significance to reliable spectrum detections and cognitive network enhancements. Given the dynamic disappearance of its emission signals, the passive locations tracking of PU, nevertheless, remains dramatically different from existing positioning problems. In this investigation, a new joint estimation paradigm, namely deep sensing , is proposed for such challenging spectrum and location awareness applications. A major advantage of this new sensing scheme is that the mutual interruption between the two unknown quantities is fully considered and, therefore, the PU's emission state is identified by estimating its moving positions jointly. Taking both PU's unknown states and its evolving positions into account, a unified mathematical model is formulated relying on a dynamic state-space approach. To implement the new sensing framework, a random finite set (RFS) based Bernoulli filtering algorithm is then suggested to recursively estimate unknown PU states accompanying its time-varying locations. Meanwhile, the sequential importance sampling is used to approximate intractable posterior densities numerically. Furthermore, an adaptive horizon expanding mechanism is specially designed to avoid the mis-tracking aroused by the intermittent disappearance of PU. Experimental simulations demonstrate that, even with mobile PUs, spectrum sensing can be realized effectively by tracking its locations incessantly. The location information, as an extra gift, may be utilized by cognitive performance optimizations. <s> BIB002 </s> Information-centric mobile caching network frameworks and caching optimization: a survey <s> Context-aware mobile caching integrating with ICN <s> The unrestrained mobility and dynamic spectrum sharing are considered as two key features of next-generation communications. In this paper, spectrum sensing in mobile scenarios is investigated, which faces still great challenges as both the mobile location of primary-user and fading channel will become time-variant. Such two uncertainties would arouse remarkable fluctuations in the strength of received signals, making most existing sensing schemes invalid. To cope with this exceptional difficulty, a novel paradigm, i.e., deep sensing, is designed, which estimates the time-dependent flat-fading gains and primary-user’s mobile positions jointly, at the same time of detecting its emission status. All three hidden states involved by the space-time doubly selective scenario are taken into accounts. A unified dynamic state-space model is established to characterize the dynamic behaviors of unknown states, in which the time-dependent flat fading is modeled as a stochastic discrete-state Markov chain. A Bayesian approach, premised on a formulation of random finite set, is suggested to recursively estimate primary user’s unknown states accompanying two others link uncertainties. In order to avoid the mis-tracking of the mobile positions, which is caused either by the incessant disappearance of primary-user or time-variant channels, an adaptive horizon expanding mechanism is also integrated. Numerical simulations validate the proposed scheme. <s> BIB003
The application based on ad hoc and hybrid framework concerning sensor network has become indispensable in future networking. Therefore, facilitating a context-aware mobile cache-enabled cooperative system is a promising research direction, which involves opportunistic sensing, spectrum sharing and performance optimization based on content awareness. Opportunistic sensing is a new paradigm for signal and information processing in which a network of sensing systems can automatically discover and select sensor platforms based on an operational scenario, determine the appropriate set of features and optimal means for data collection based on these features, obtain missing information by querying available resources, and use appropriate methods to fuse the data, resulting in an adaptive network that automatically finds scenario-dependent, objective-driven opportunities with optimized performance. Theory and algorithms of opportunistic sensing are needed for advancing autonomous sensing that not only ensures effective utilization of sensing assets but also provides robust optimal performance BIB001 . With the capability of promoting spectral utilization by accessing licensed primary bands opportunistically, cognitive radios based dynamic spectrum sharing is considered as a key feature of future mobile communication. To implement cognitive radios, spectrum sensing is one principal constituent for the intelligent mitigation of harmful inferences to primary user. Spectrum sensing in cognitive communication enables user devices to acquire the mobile location of primary/incumbent user when deep sensing the spectrum availability BIB003 , and realize the localization of primary user even in time-varying fading channels BIB002 , thus make users access different radio access networks for context-aware content based application communication. Performance optimization based on content awareness refers to optimizing the performance of the mobile cache-enabled cooperative system according to different requirements, metrics and various resources obtained from opportunistic sensing and spectrum sharing. From the investigation surveyed, study on contextaware mobile caching integrated with ICN is still a promising aspect in the optimization of information centric mobile caching.