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基于粒子群优化算法的传感器优化部署方法研究

唐年庆

现代电子技术2016,Vol.39Issue(17):132-135,139,5.
现代电子技术2016,Vol.39Issue(17):132-135,139,5.DOI:10.16652/j.issn.1004-373x.2016.17.033

基于粒子群优化算法的传感器优化部署方法研究

Research on sensor optimum deployment method based on PSO algorithm

唐年庆1

作者信息

  • 1. 内江师范学院 计算机科学学院,四川 内江 641112
  • 折叠

摘要

Abstract

Since the particle swarm optimization(PSO)algorithm of three⁃dimensional space sensor deployment algorithm can′t guarantee the optimizing accuracy,global convergence and convergence rate,the improved PSO⁃based WCPSO algorithm combining inertia weight linear decreasing strategy with dynamic acceleration constant adaptive strategy is put forward to improve the optimizing accuracy and convergence rate of the algorithm effectively. The design scheme of the algorithm is given,and the simulation experiments of unknown invading path and estimated invading path were performed. The simulation experiment results show that the optimal effect and efficiency of WCPSO algorithm are superior to the PSO algorithm before improvement.

关键词

粒子群优化算法/部署优化/传感器网络/WCPSO算法

Key words

particle swarm optimization algorithm/optimum deployment/sensor network/WCPSO algorithm

分类

信息技术与安全科学

引用本文复制引用

唐年庆..基于粒子群优化算法的传感器优化部署方法研究[J].现代电子技术,2016,39(17):132-135,139,5.

基金项目

四川省教育厅科研项目基于遗传算法的传感器动态特性研究 ()

现代电子技术

OA北大核心CSTPCD

1004-373X

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