Toward Internet of Heterogeneous Things : Wireless communication maintenance and efficient data sharing among devices

Abstract : Internet of Things (IoT) technology begins to take an important place in our daily life and has already got a large success in several applications. Despite this success, most of IoT applications are based only on static actuation. However, adding an active role for actuators will be needed, in order to optimize the systems where they are present. To achieve this goal, in this thesis, we introduce a new concept called Internet of Heterogeneous Things (IoHT) which takes into account both static and dynamic actuation. The dynamic actuation is provided by a mobile robot or a mobile sensor. An IoHT device can be therefore static or equipped with motion capability. When a device has the capacity to move, we exploit the potential of controlled mobility by proposing efficient algorithms to maintain the global connectivity among IoHT devices. We show by simulation the efficiency of the proposed algorithms and their performance in terms of convergence time, connectivity, and traveled distance. Once the connectivity among devices is guaranteed, another major challenge that should be solved is the huge amount of data they generate and transmit. To tackle this problem, we propose a Bayesian Inference Approach (BIA) which allows avoiding the transmission of high correlated data. Belief Propagation algorithm, coupled with the Markov Random Field model, is used in this case to reconstruct the missing sensing data. According to different scenarios, our approach is evaluated based on the real data collected from sensors deployed on indoor and outdoor environments. The results show that our proposed approach reduces drastically the number of transmitted data and the energy consumption, while maintaining an acceptable level of inference error and information quality.
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Submitted on : Tuesday, October 24, 2017 - 6:15:54 PM
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Cristanel Razafimandimby. Toward Internet of Heterogeneous Things : Wireless communication maintenance and efficient data sharing among devices. Networking and Internet Architecture [cs.NI]. Université Lille 1 - Sciences et Technologies, 2017. English. ⟨tel-01622920⟩

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