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Wireless Power Transmitter Deployment for Balancing Fairness and Charging Service Quality
IEEE Internet of Things Journal ( IF 9.515 ) Pub Date : 2019-12-10 , DOI: 10.1109/jiot.2019.2958660
Mingqing Liu; Gang Wang; Georgios B. Giannakis; Mingliang Xiong; Qingwen Liu; Hao Deng

Wireless energy transfer (WET) has recently emerged as an appealing solution for power supplying mobile/Internet of Things (IoT) devices. As an enabling WET technology, resonant beam charging (RBC) is well documented for its long-range, high-power, and safe “WiFi-like” mobile power supply. To provide high-quality wireless charging services for multiple users in a given region, we formulate a deployment problem of multiple RBC transmitters for balancing the charging fairness and quality of charging service. Based on the RBC transmitter’s coverage model and receiver’s charging/discharging model, a genetic algorithm (GA)-based scheme and a particle swarm optimization (PSO)-based scheme are put forth to resolve the above issue. Moreover, we present a scheduling method to evaluate the performance of the proposed algorithms. The numerical results corroborate that the optimized deployment schemes outperform uniform and random deployment in 10%–20% charging efficiency improvement.
更新日期:2020-03-19

 

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