一种无线传感器网络覆盖的粒子群优化方法

An Approach with Partical Swarm Optimizer to Optimize Coverage in Wireless Sensor Networks

摘要:

提出一种在无线传感器网络的布设中添加相对较少的汇节点，进而提高网络覆盖度的有效方法.通过引入粒子群优化方法，在既有的随机布设的无线传感器网络中，寻找最佳汇节点位置，同时通过添加汇节点的方法来优化网络的拓扑结构.理论数据和仿真分析表明，粒子群算法的引入，高效可靠，对现有网络的连通性有很大的提升，是一种较优的覆盖优化方法.

关键词:无线传感器网络; 拓扑管理; 覆盖; 粒子群优化算法

Abstract:

The paper preseats an efficient way to improve the network coverage by artificially deploying the critical Sink nodes. Thus,a study is made to find the best Sink node with the practical swarm optimizer (PSO) algorithm. Simulation shows that PSO algorithm is an easier and reliable way to improve the capability and integrity of networks.

Key words:wireless sensor networks; topology control; coverage; particle swarm optimization