Coverage Strategy of Virtual Material Force-directed Particle Swarm Optimization in Wireless Sensor Networks
Li Juan Yu · Jisuanji gongcheng · 2010
Aiming at the problem of repeat coverage and algorithm taking too much time,this paper proposes a coverage optimization strategy of Virtual Material Force-directed Particle Swarm Optimization(VMFPSO) in Wireless Sensor Networks(WSNs).The strategy undergoing optimization performance test is analyzed through the simulation experiment.Coverage rate increases by 9.5 percent,1.7 percent,6.03 percent and 3.71 percent and convergence rate increases 23.2 percent,1.8 percent,24.5 percent and 24.5 percent compared with elementary PSO,the evolution of Multi-particle Particle Swarm Optimization(MPSO),the traditional genetic algorithms(CGA) and quantum of the New Genetic Algorithm(NQGA) about the optimization effectiveness.Results show that the VMFPSO strategy has better coverage optimization effectiveness than PSO,MPSO,CGA,NQGA.