Coverage optimization of wireless sensor networks based onartificial fish swarm algorithm
基于人工鱼群算法的无线传感器网络覆盖优化

Focusing on the problems of increasing network cost and short life cycle caused by serious redundant network nodes, this paper proposed a coverage optimization method based on artificial fish swarm algorithm. Firstly, it took the nodes' utilization and the efficiency of network coverage as the optimization goal to establish mathematical model. And then it used the artificial fish swarm algorithm to solve the model, and got the optimal coverage scheme for WSN. The simulation results show that the proposed method can not only improve the coverage rate of WSN, but also reduce redundancy and the cost of network effectively, so that the network life time has been extended.