Technology of Network & Communication
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1170-1173,1182

WSN coverage optimization based on particle swarm optimization

Guo Chao
Yang Yuxuan
Hu Ronglei
Xiao Chao'en
Wang Jianxin
Xu Fenglin
Dept. of Electronics & Communication Engineering, Beijing Electronic Science & Technology Institute, Beijing 100070, China

Abstract

In order to improve the performance of wireless sensor network, this paper studied the distribution of nodes and coverage scheme and proposed a quasi-physical particle swarm optimization algorithm based on inertia weight. It combined the quasi-gravitational force and quasi-coulomb force in the quasi-physical force algorithm with the particle swarm optimization algorithm to enhance the global search ability, converge to the global optimal solution faster, and reduce the consumption and repeated covering. The simulation results prove that the proposed algorithm achieves the faster global convergences, higher coverage, lower rate of repeat coverage than the basic PSO algorithm and standard PSO algorithm based on inertia weight.

Foundation Support

国家重点研发计划资助项目(2018YFB1004101)
国家自然科学基金资助项目 (61701008)
中央高校基本科研业务费资助项目(328201801)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0767
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Technology of Network & Communication
Pages: 1170-1173,1182
Serial Number: 1001-3695(2020)04-046-1170-04

Publish History

[2020-04-05] Printed Article

Cite This Article

郭超, 杨宇轩, 胡荣磊, 等. 基于粒子群算法的WSN覆盖优化 [J]. 计算机应用研究, 2020, 37 (4): 1170-1173,1182. (Guo Chao, Yang Yuxuan, Hu Ronglei, et al. WSN coverage optimization based on particle swarm optimization [J]. Application Research of Computers, 2020, 37 (4): 1170-1173,1182. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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