TSCA: A Temporal-Spatial Real-Time Charging Scheduling Algorithm for On-Demand Architecture in Wireless Rechargeable Sensor Networks - 2018


The collaborative charging issue in Wireless Rechargeable Sensor Networks (WRSNs) may be a fashionable research downside. With the assistance of wireless power transfer technology, electrical energy will be transferred from wireless charging vehicles (WCVs) to sensors, providing a new paradigm to prolong network lifetime. Existing techniques on collaborative charging typically take the periodical and deterministic approach, but neglect influences of non-deterministic factors such as topological changes and node failures, creating them unsuitable for massive-scale WRSNs. During this Project, we tend to develop a temporal-spatial charging scheduling algorithm, namely TSCA, for the on-demand charging design. We tend to aim to minimize the number of dead nodes while maximizing energy potency to prolong network lifetime. First, once gathering charging requests, a WCV will compute a feasible movement solution. A basic path designing algorithm is then introduced to regulate the charging order for higher potency. Furthermore, optimizations are made in a very global level. Then, a node deletion algorithm is developed to get rid of low efficient charging nodes. Lastly, a node insertion algorithm is executed to avoid the death of abandoned nodes. Extensive simulations show that, compared with state-of-the-art charging scheduling algorithms, our scheme will achieve promising performance in charging throughput, charging potency, and different performance metrics.

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