Based on Genetic PSO Wireless Sensor Network Coverage Optimization Algorithms

According to the standard particle swarm algorithm based on the existing network cover slow convergence speed,easy early,is proposed based on the genetic PSO of wireless sensor network coverage optimization algorithm.In wireless sensor maximum coverage as the objective function,through the application of join adaptive crossover and mutation factor genetic algorithm to search the solution space,using the PSO(particle swarm optimization)powerful global search ability increase search scope,make particle cover more efficient,strengthen algorithm optimization ability,improve the node coverage,solve premature problem.Simulation results show that,with the standard traditional genetic algorithm,the PSO algorithm optimization results were compared,and the coverage increased by 2.28% and 0.65% respectively;and convergence speed increased,so this method can effectively realize the wireless sensor network coverage optimization.