无线传感器网络能量异构分簇算法的研究

在无线传感器网络能量异构环境下对低功耗自适应的分簇算法(Low Energy Adaptive Clustering Hierarchy,LEACH)与稳定选举协议(Stable Election Protocol,SEP)算法进行了分析,针对其存在的不足提出了一种改进的方案。在簇头选举过程中提高了剩余能量高、距离基站较近节点当选为簇头的概率,同时对当选为簇头的节点设定能量阈值,避免能量过低的节点当选为簇头。仿真结果表明,改进后的算法较好地均衡了网络中节点的能量消耗,有效地提高了网络中能量的利用效率,并且极大地延长了网络正常工作的生命周期。

Study on Energy-heterogeneous Clustering Algorithm in Wireless Sensor Network

Based on the analysis of LEACH and SEP, a new modification algorithm is proposed aiming at their disadvantage in the energy-heterogeneous environment of wireless sensor network. The nodes which have more residual energy and smaller distance to the base-station are more probably selected as cluster head. Meanwhile, an energy threshold is set for cluster head to avoid that the nodes which have too low energy are selected as cluster head. The simulated results demonstrate that the improved algorithm better balance the energy consumption, effectively improve the energy utilization efficiency, and greatly prolong the normal working life-cycle of the entire network.