A Particle Swarm Optimization for Hybrid Wireless Sensor Networks Coverage

To optimizing the coverage performance,this paper proposed a strategy which is based on particle swarm optimization(PSO) with dynamic clone.The algorithm control clone numbers and variation range of particle,which represents the positions of all mobile sensor nodes,by coverage rate and similarity among the swarm,so can avoid being trapped in local optima.The results of simulation show that the algorithm is able to more improve the coverage of the networks than the compared algorithm.