Wireless Power Transmitter Deployment for Balancing Fairness and Charging Service Quality

Mingqing Liu; Gang Wang; Georgios B. Giannakis; Mingliang Xiong; Qingwen Liu; Hao Deng

doi:10.1109/JIOT.2019.2958660

Wireless Power Transmitter Deployment for Balancing Fairness and Charging Service Quality

Mingqing Liu, Gang Wang, Georgios B. Giannakis, Mingliang Xiong, Qingwen Liu, Hao Deng

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

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.

Original language	English (US)
Article number	8930494
Pages (from-to)	2223-2234
Number of pages	12
Journal	IEEE Internet of Things Journal
Volume	7
Issue number	3
DOIs	https://doi.org/10.1109/JIOT.2019.2958660
State	Published - Mar 2020

Bibliographical note

Funding Information:
Manuscript received September 24, 2019; revised December 3, 2019; accepted December 4, 2019. Date of publication December 10, 2019; date of current version March 12, 2020. The work of M. Liu, M. Xiong, Q. Liu, and H. Deng was supported in part by the National Natural Science Foundation of China under Grant 61771344, and in part by the China Postdoctoral Science Foundation under Grant 2018M632161. (Corresponding authors: Qingwen Liu; Hao Deng.) M. Liu, M. Xiong, Q. Liu, and H. Deng are with the College of Electronic and Information Engineering, Tongji University, Shanghai 200000, China (e-mail: clare@tongji.edu.cn; xiongml@tongji.edu.cn; qliu@tongji.edu.cn; dashena85754@qq.com).

Publisher Copyright:
© 2014 IEEE.

Keywords

Internet of Things (IoT)
mobile energy transfer
resonant beam charging (RBC)
transmitter deployment

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abstract = "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.",

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note = "Funding Information: Manuscript received September 24, 2019; revised December 3, 2019; accepted December 4, 2019. Date of publication December 10, 2019; date of current version March 12, 2020. The work of M. Liu, M. Xiong, Q. Liu, and H. Deng was supported in part by the National Natural Science Foundation of China under Grant 61771344, and in part by the China Postdoctoral Science Foundation under Grant 2018M632161. (Corresponding authors: Qingwen Liu; Hao Deng.) M. Liu, M. Xiong, Q. Liu, and H. Deng are with the College of Electronic and Information Engineering, Tongji University, Shanghai 200000, China (e-mail: clare@tongji.edu.cn; xiongml@tongji.edu.cn; qliu@tongji.edu.cn; dashena85754@qq.com). Publisher Copyright: {\textcopyright} 2014 IEEE.",

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Wireless Power Transmitter Deployment for Balancing Fairness and Charging Service Quality

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