计算机应用研究2011，Vol.28Issue(4)：1272-1275,4.DOI:10.3969/j.issn.1001-3695.2011.04.020
基于改进粒子群算法的WSN覆盖优化策略
Strategy of wireless sensor networks coverage optimization by improved particle swarm algorithm
冯智博 1黄宏光 1李奕1
作者信息
- 1. 四川大学,电气信息学院,成都,610065
- 折叠
摘要
Abstract
To maximize the network coverage and extend the life of the network, this paper proposed a wireless sensor networks (WSN) coverage optimal strategy based on standard particle swarm optimization(PSO).By using clustering and collision theory, the particles which fell into the best part area could be chosen rapidly.The strategy also avoided a phenomenon of premature which often occured when using the method of standard PSO, and improved the stability of the algorithm.The paper analyzed the influence about cluster number and threshold value on the coverage performance through the simulation experiment.Experimental results indicate that the collision and clustering-based PSO strategy acts effectively in coverage optimization.关键词
无线传感器网络覆盖优化/粒子群算法/分簇/碰撞理论Key words
wireless sensor networks coverage optimization/ particle swarm algorithm/ clust/ theory of collision分类
信息技术与安全科学引用本文复制引用
冯智博,黄宏光,李奕..基于改进粒子群算法的WSN覆盖优化策略[J].计算机应用研究,2011,28(4):1272-1275,4.
