Deploying charging nodes in wireless rechargeable sensor networks based on improved firefly algorithm

被引：27

作者：

Yang, Meng ^{[1
]}

Wang, Aimin ^{[1
,2
]}

Sun, Geng ^{[1
,2
,3
]}

Zhang, Ying ^{[3
]}

机构：

[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China

[2] Jilin Univ, Key Lab Symbol Computat & Knowledge Engn, Minist Educ, Changchun 130012, Jilin, Peoples R China

[3] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA

来源：

COMPUTERS & ELECTRICAL ENGINEERING | 2018年 / 72卷

基金：

中国国家自然科学基金;

关键词：

Wireless rechargeable sensor networks; Wireless charger deployment; Coverage; Charging efficiency; Firefly algorithm; OPTIMIZATION;

D O I：

10.1016/j.compeleceng.2017.11.021

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

A wireless rechargeable sensor network (WRSN) consists of sensor nodes that can harvest energy from the wireless charging nodes (WCNs) for prolonging the network lifetime. This study deals with the WCN deployment optimization problem in WRSNs. We propose an optimization framework that simultaneously maximizes the coverage and the charging efficiency. Moreover, an improved firefly algorithm (IFA) is proposed for solving the WCN deployment optimization problem. IFA adopts a novel adaptive attractiveness factor and introduces a dynamic location update mechanism to enhance the performance of the conventional firefly algorithm (FA). We compare the proposed IFA with several benchmark algorithms in two different scenarios. Simulation results show that the proposed algorithm outperforms other comparative algorithms in both accuracy and convergence rate. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：719 / 731

页数：13

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