关键词: 无线传感器网络, 混沌, 粒子群算法, 覆盖优化, 覆盖率

Abstract: To improve the unreasonable distribution of sensors random deployment, increase network coverage rate, taking the network coverage rate as the optimized goal, an optimization method of wireless sensor networks coverage based on Chaos Particle Swarm Optimization (CPSO) was proposed in this paper. Based on the ergodicity, stochastic property of chaos, the algorithm can avoid the shortage of being easily trapped in a local extremum at the later evolution stage. The simulation results indicate that the addressed algorithm is superior to particle swarm optimization in coverage optimization.

Key words: Wireless Sensor Network (WSN), chaos, particle swarm algorithm, coverage optimization, coverage rate