Coverage Optimization Strategy in Wireless Sensor Networks Based on Natural Selection Particle Swarm Optimization Algoritnm

In the hybrid wireless sensor networks composed of stationary nodes and mobile nodes, aim at the problem of low coverage in networks, due to the uneven initial deployment of nodes, proposed a coverage optimization algorithm based on natural selection particle swarm optimization. Firstly, build the Neyman-Pearson nodes sensor model, meshing the monitoring area and define the objective optimization function of networks coverage rate; Then, adopted the PSO algorithm blended in natural selection idea to optimize the objective function, Experimental results show that the algorithm can increase the coverage rate effectively, improve monitoring quality, prolong the survival time of networks.