Research on the Strategy of Wireless Sensor Networks Coverage by the Particle Optimization Evolutionary
Yu Li · Chuangan jishu xuebao · 2009
To maximize the network coverage and extend the life of the network,a Wireless Sensor Networks(WSNs) coverage optimal strategy is proposed based on the evolution of Multi-particle Particle Swarm Optimization(MPSO).By using the method of Multi-groups parallel searching,the particles,which fall into the best part area according to the theory of evolution,can be chosen rapidly.The strategy also avoids a phenomenon of premature which often occurs when using the method of elementary Particle Swarm Optimization(PSO),and improves the stability of the algorithm.In the paper,the influence about perceived radius of the nodes on the coverage performance is analyzed through the simulation experiment.Coverage rate and convergence rate increases as the radius of perception speeds up gradually.Experimental results indicate that the MPSO strategy is better than PSO,the Conventional Genetic Algorithms(CGA),the New Quantum Genetic Algorithm(NQGA) in coverage optimization.