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.