现代电子技术2017，Vol.40Issue(17)：32-35,4.DOI:10.16652/j.issn.1004-373x.2017.17.008
基于改进粒子群算法的无线传感器网络覆盖优化
Wireless sensor network coverage optimization based on improved particle swarm optimization
梁俊卿1
作者信息
- 1. 青岛理工大学 计算机工程学院,山东 青岛 266033
- 折叠
摘要
Abstract
Since the traditional wireless sensor network coverage methods are prone to produce local convergence,a method of wireless sensor network coverage optimization based on improved particle swarm optimization is proposed. The process of wire-less sensor network coverage optimization based on particle swarm optimization is analyzed to find out the local convergence prob-lem. The schemes of quasi universal gravitation and quasi Coulomb force are used to integrate into the quasi physical force in process of particle velocity evolutionary. The velocity correction process of basic particle swarm optimization algorithm is opti-mized to avoid the local convergence problem of particle swarm algorithm,reduce the coverage of duplication,and realize the wireless sensor network coverage optimization. The experimental results show that the improved particle swarm optimization algo-rithm has fast convergence efficiency,and perfect coverage optimization effect for wireless sensor networks.关键词
粒子群算法/无线传感器/网络覆盖/收敛效率Key words
particle swarm optimization algorithm/wireless sensor/network coverage/convergence efficiency分类
信息技术与安全科学引用本文复制引用
梁俊卿..基于改进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(17):32-35,4.
