TEADBC位置相关的全局能量高效传感器网络分簇算法

Total Energy-aware Distance-based Clustring Algorithm for Wireless Sensor Networks

在无线传感器网络的拓扑结构中,基于簇的层次拓扑结构能够延长无线传感器网络的生命周期,降低网络的整体能耗,因此把网络分成簇来管理是一个常见的方法.本文提出一个基于位置信息的全局能量高效的簇头选择算法TEADBCA.在该算法中,簇头节点的选择依据是一个全局能量消耗参数,这在根本上保证了算法具有较小的网络整体能耗.本文对算法进行了仿真分析,结果证明,基于位置信息的能量高效的簇头选择算法在网络生命周期、网络整体能耗、能耗均衡性等指标上优于LEACH算法.

In WSNs（wireless sensor networks）,an optimized way of prolonging the networks′ lifetime and saving energy is to cluster the networks.In this paper,a new method called TEADBCA（Total Energy-Aware Distance-Based Clustering Algorithm） for cluster-head selection is proposed.TEADBCA introduces a clustering parameter EP for cluster head election,which can be better handle the energy consumption.Compared with famous algorithms LEACH,TEADBCA prolongs the networks′ lifetime and improves the energy consumption.