摘要
为了实现无线传感器网络k重覆盖范围的最大化,延长网络寿命,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。同时改进了粒子群的惯性权重,有效地避免了标准粒子群算法容易出现的早熟问题,提高算法的稳定性。通过实验仿真证明了此方法的有效性。
To maximize the network k -coverage and extend the life of the network, a k -coverage strategy of wireless sensor networks based on particle swarm optimizer is proposed The k -coverage rate and the use ratio of need were improved, and thus the network lifetime was prolonged. The inertia weight of particle swarm optimizer was advanced. The strategy avoided a phenomenon of premature which often occurred when using the method of standard, and improved the stability of the algorithm. The simulation experiment indicates that the method is effective.
出处
《科学技术与工程》
北大核心
2012年第21期5198-5201,共4页
Science Technology and Engineering
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
