基于改进鱼群算法的无线传感器网络K重覆盖优化策略

K-coverage Strategy of Wireless Sensor Networks Based on Improved Artificial Fish Swarm Algorithm

为了实现无线传感器网络K重覆盖范围的最大化，延长网络寿命，提出了一种基于改进鱼群算法的无线传感器网络K重覆盖算法，将区域K覆盖率，节点利用率，能耗均衡指标作为优化目标函数，建立数学模型，用混沌鱼群算法求解，自适应人工鱼视野、步长，得到最优覆盖方案。仿真结果表明，该算法比基本人工鱼群算法搜索效率更高，有效的降低了网络成本。

To maximize the network k-coverage and extend the life of the network, this paper proposed a k-coverage algorithm of wireless sensor networks based on improved artificial fish swarm algorithm. First, using the efficiency of network k-coverage, the utilization of nodes and the average energy consumption as the optimization objectives and establish mathematical model, and then the algorithm was used to solve the problem. The simulation results show that the proposed algorithm improves the cost of network effectively, and the search efficiency is higher.