Research on Sensor Deployment Based on Probabilistic Detection Model
Yang Xinfeng · Jisuanji fangzhen · 2012
The coverage of the wireless sensor network node configuration optimization was researched.Redundancy exists in wireless sensor networks,which seriously affects the network's optimal performance.In order to effectively improve the coverage of wireless sensor network,an improved particle swarm algorithm was proposed for the optimization of wireless network node coverage.the crossover and mutation operators of genetic algorithm were introducted to optimize the hybrid particle swarm algorithm,to ensure that under the conditions of wireless sensor networks connectivity,the number of sensor nodes reached the required coverage.Simulation results show that the hybrid particle swarm algorithm can quickly converge to the accurate solution and better reduce the network redundancy to extend the network lifetime.