一种基于粒子群算法的无线传感器k重覆盖优化策略

A k-coverage Strategy of Wireless Sensor Networks Based on Particle Swarm Optimizer

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.