In probabilistic perceptual optimization model

coverage rate of the wireless sensor networks（ WSNs）and energy consumption of mobile node are used as multi-objective optimization function

and the optimal location of the mobile node is adjusted by improved hybrid particle swarm optimization（ IM-HPSO） algorithm to control the network coverage rate maximization

at the same time

reducing moving distance

making the mobile energy consumption minimized. The simulation results show that the IM-HPSO algorithm outperforms the other algorithms in terms of coverage rate decrease of energy consumption and the extension of network lifetime.