Abstract:

The geometric method is unsuitable to optimize the coverage rate of the network when the probability coverage model is used in wireless sensor network (WSN). An improved particle swarm optimization (PSO) algorithm is proposed to improve the coverage rate of WSN. First, the method to handle the cross-border particles is generalized to improve the applicability of PSO. Then, the explorative capability enhancement PSO (ECE-PSO) method is proposed to improve the performance of PSO which is easy to converge to local optimum. Finally, the simulation results of optimizing the coverage of WSN based on the probability coverage model show that the ECE-PSO algorithm which has an excellent stability can prominently improve the solution quality and avoid the PSO algorithm converging to local optimum.