Radiation Constrained Wireless Charger Placement

被引:28
作者
Dai, Haipeng [1 ]
Liu, Yunhuai [2 ]
Yu, Nan [1 ]
Wu, Chaofeng [1 ]
Chen, Guihai [1 ]
He, Tian [3 ]
Liu, Alex X. [4 ]
机构
[1] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210023, Peoples R China
[2] Peking Univ, Beijing Inst Big Data Res, Beijing 100080, Peoples R China
[3] Univ Minnesota, Comp Sci & Engn Dept, Minneapolis, MN 55455 USA
[4] Nanjing Univ, Dept Comp Sci & Technol, Nanjing 210023, Peoples R China
基金
中国国家自然科学基金;
关键词
Wireless communication; Safety; Wireless sensor networks; Approximation algorithms; Inductive charging; Partitioning algorithms; Optimization; electromagnetic radiation (EMR); optimization;
D O I
10.1109/TNET.2020.3028704
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Wireless Power Transfer has become a commercially viable technology to charge devices because of the convenience of no power wiring and the reliability of continuous power supply. This paper concerns the fundamental issue of wireless charger placement with electromagnetic radiation (EMR) safety. Although there are a few wireless charging schemes consider EMR safety, none of them addresses the charger placement issue. In this paper, we propose PESA, a wireless charger Placement scheme that guarantees EMR SAfety for every location on the plane. First, we discretize the whole charging area and formulate the problem into the Multidimensional 0/1 Knapsack (MDK) problem. Second, we propose a fast approximation algorithm to the MDK problem. Third, we propose a near optimal scheme to improve speed by double partitioning the area. We prove that the output of our algorithm is better than (1 - epsilon) of the optimal solution to PESA with a smaller EMR threshold (1 - epsilon /2)R-t and a larger EMR coverage radius (1+epsilon/2)D . We conducted both simulations and field experiments to evaluate the performance of our scheme. Our experimental results show that in terms of charging utility, our algorithm outperforms the comparison algorithms.
引用
收藏
页码:48 / 64
页数:17
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