摘要
为了实现无线传感器网络k重覆盖范围的最大化,提出了一种基于粒子群算法的无线传感器k重覆盖优化策略,提高了k重覆盖率,进而提高节点的利用率,延长无线传感器网络的寿命。同时,在保证网络覆盖精度的前提下,选择最合适的参数,这样既保证了最优的覆盖结果又最大限度地节约了计算量,延长了网络的寿命。通过仿真实验分析了粒子群算法的相关参数对覆盖性能指标的影响。实验结果表明,基于粒子群算法的k重覆盖策略有效地优化了网络的k重覆盖性能。
To maximize the network k-coverage and extend the life of the network,this paper proposed a k-coverage strategy of WSN based on PSO.It improved the k-coverage rate and the use ratio of need,and thus prolonged the network lifetime.To the premise of ensure network coverage accuracy,it chose the most suitable parameters,both to ensure optimal coverage of the results and to maximize the computational savings,extend the life of the network.The paper analyzed the influence about relevant parameters of particle swarm optimizer on the coverage performance through the simulation experiment.Experimental results indicate that the k-coverage strategy of WSN acts effectively in k-coverage optimization.
出处
《计算机应用研究》
CSCD
北大核心
2012年第12期4677-4679,共3页
Application Research of Computers
关键词
无线传感器网络
粒子群算法
k重覆盖策略
wireless sensor networks（WSN）
particle swarm optimizer（PSO）
k-coverage strategy
