Strategy of wireless sensor networks coverage optimization by improved particle swarm algorithm
基于改进粒子群算法的WSN覆盖优化策略

To maximize the network coverage and extend the life of the network, a Wireless Sensor Networks (WSNs) coverage optimal strategy is proposed based on Standard PSO. By using clustering and collision theory, the particles which fall into the best part area can be chosen rapidly. The strategy also avoids a phenomenon of \"premature\" which often occurs when using the method of Standard ParticleSwarm Optimization (PSO), and improves the stability of the algorithm. In the paper, the influence about cluster number and threshold value on the coverage performance was analyzed through the simulation experiment. Experimental results indicate that the collision and clustering-based PSO strategy acts effectively in coverage optimization.