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TitleMinimum Wireless Charger Placement with Individual Energy Requirement
Creator
Date Issued2020
Conference Name14th International Conference on Combinatorial Optimization and Applications, COCOA 2020
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN9783030648428
ISSN0302-9743
Volume12577
Pages697 - 710
Conference DateDecember 11-13, 2020
Conference PlaceDallas
Abstract

Supply energy to battery-powered sensor devices by deploying wireless chargers is a promising way to prolong the operation time of wireless sensor networks, and has attracted much attention recently. Existing works focus on maximizing the total received charging power of the network. However, this may face the unbalanced energy allocation problem, which is not beneficial to prolong the operation time of wireless sensor networks. In this paper, we consider the individual energy requirement of each sensor node, and study the problem of minimum charger placement. That is, we focus on finding a strategy for placing wireless chargers from a given candidate location set, such that each sensor node’s energy requirement can be met, meanwhile the total number of used chargers can be minimized. We show that the problem to be solved is NP-hard, and present two approximation algorithms which are based on the greedy scheme and relax rounding scheme, respectively. We prove that both of the two algorithms have performance guarantees. Finally, we validate the performance of our algorithms by performing extensive numerical simulations. Simulation results show the effectiveness of our proposed algorithms. © 2020, Springer Nature Switzerland AG.

DOI10.1007/978-3-030-64843-5_47
URLView source
Language英语English
Scopus ID2-s2.0-85097834988
Citation statistics
Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/9150
CollectionResearch outside affiliated institution
Corresponding AuthorLi, Deying
Affiliation
1.School of Information, Renmin University of China, Beijing, 100872, China
2.Department of Computer Science, University of Texas at Dallas, Richardson, 75080, TX, United States
Recommended Citation
GB/T 7714
Ding, Xingjian,Guo, Jianxiong,Li, Deyinget al. Minimum Wireless Charger Placement with Individual Energy Requirement[C], 2020: 697 - 710.
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