基于协同进化粒子群算法的无线传感器网络节能优化覆盖算法

针对当前无线传感器网络覆盖算法存在能耗较高、节点大量冗余的缺陷,提出一种基于协同进化粒子群算法的WSN节能优化覆盖算法.以WSN的网络覆盖率、剩余能量和冗余程度为优化目标,建立粒子群优化模型.采用遗传算法的交叉变异算子,加强算法寻优能力.仿真结果表明,新的算法在提高能量利用效率的同时维护了良好的网络覆盖率,有效延长了网络生命周期,达到了节能优化覆盖的目标.

Energy-saving Coverage Algorithm for Wireless Sensor Network Based on Co-evolutionary Particle Swarm Optimization

To solve the problem that the most covering algorithm of wireless sensor network has the weakness of serious energy consumption and lots of redundant nodes.We proposed an energy-conservation optimization covering algorithm which based on co-evolutionary particle swarm optimization(PSO).We constructed the PSO model according to the ratio of the network coverage,residual energy and the degree of redundant.The mutation and crossover operator of genetic algorithm was adopted to enhance the searching able of the proposed algorithm.The simulation results indicate that the proposed algorithm can improve energy efficiency,maintain a good network coverage rate,effectively prolong the lifetime of network and achieves the goal of energy-saving optimization covering.