现代电子技术2017，Vol.40Issue(9)：50-53,4.DOI:10.16652/j.issn.1004-373x.2017.09.014
基于粒子群算法的无线传感器网络覆盖优化
Wireless sensor network coverage optimization based on particle swarm optimization algorithm
张红霞1
作者信息
- 1. 武汉商学院 机电工程与汽车服务学院,湖北 武汉 430056
- 折叠
摘要
Abstract
The algorithm selected by the traditional wireless sensor network coverage optimization method has unreasonable structure,which makes its coverage ability,iteration ability and effectiveness incapable of sustaining the network basic func-tions,therefore a wireless sensor network coverage optimization method based on particle swarm optimization algorithm is pro-posed. The cognitive model of the wireless sensor network is constructed to convert the network coverage optimization into the getting of the maximum coverage probability of the target object,and encoded with the particle swarm optimization algorithm. The constraint value given by the model fitness function is used to update the location of network node,so as to optimize the coverage probability of the wireless sensor network. The simulation experiment conclusion indicates,in comparison with the tradi-tional methods,the method has higher coverage ability,iteration ability and effectiveness.关键词
粒子群算法/无线传感器网络/覆盖优化方法/模型适应度函数Key words
particle swarm optimization algorithm/wireless sensor network/coverage optimization method/model fitness function分类
信息技术与安全科学引用本文复制引用
张红霞..基于粒子群算法的无线传感器网络覆盖优化[J].现代电子技术,2017,40(9):50-53,4.
