基于能量迭代的无线传感器网络非均匀分簇路由算法

能量空洞是影响无线传感器网络性能的关键问题之一，据此提出了一种基于能量迭代的非均匀分簇路由算法。该算法首先在簇头选举时通过减少迭代次数，降低能量消耗，同时综合考虑节点能耗速度、节点到汇聚节点的距离等因素，选出最优簇头；其次，考虑到节点到汇聚节点距离和节点密度对网络生命周期的影响，提出了非均匀分簇算法，实现网络能耗均衡的目的。仿真实验表明，当最大簇半径为50m ，选举因素所占权重为0.4 ，簇半径调节系数为0.7时，本算法达到最优，与LEACH-E和LEACH相比，网络生命周期分别延长125%和136%,同时有效避免了能量空洞现象的产生。

Uneven clustering routing algorithm for WSN based on energy iteration

Energy hole is one of the key problems in wireless sensor networks (WSN). It proposes an uneven clustering routing algorithm based on energy iteration. Firstly, the algorithm reduces energy consumption by decreasing the number of iterations and selected the optimal cluster head by considering the speed of energy consuming and the distance between nodes and sink nodes. Secondly, the uneven clustering routing algorithm considers the influence of the distance between nodes and sink nodes and node density. The simulation results show that, when the maximum cluster radius is 50m, the weight of factor is 0.4, the adjusting coefficient of cluster radius is 0.7, the algorithm achieves the optimal effect. The proposed algorithm prolonges the network life time by 125% and 136% than that of Leach-E and Leach algorithm. At the same time, it also avoids the generation of energy hole.