基于人工鱼群算法的无线传感器网络覆盖优化

Coverage optimization of wireless sensor networks based on artificial fish swarm algorithm

针对网络节点严重冗余而导致的网络成本增加、生命周期过短等缺陷,提了一种基于人工鱼群算法的覆盖优化方法。首先以节点的利用率和网络有效覆盖率作为优化目标,建立相应的数学模型,然后采用人工鱼群算法对模型进行求解,得到无线传感器网络的最优覆盖方案。仿真结果表明,人工鱼群算法提高了无线传感器网络节点的覆盖率,减少了传感器节点冗余,有效降低了网络成本,网络生存时间得到了延长。

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.