无线多跳传感器网络中一种自适应分簇策略

An Adaptive Clustering Scheme for Multi-hop Wireless Sensor Networks

摘要: 以无线多跳传感器网络中的能量消耗模型为基础，提出一种能量均衡分簇策略．该策略利用几何规划原理，通过节点的能量水平和距离向量来调节其成为簇头的概率，并进一步调节簇的大小．仿真结果表明，与HEED（hybrid，energy-efficient，distributed clustering approach）协议相比，该策略使网络的生命周期和稳定周期分别提高了21%和40%以上．

Abstract: A balanced-energy clustering scheme(BECS) is proposed which is based on the energy consumption model in multi-hop wireless sensor networks.According to the geometric programming theory,this scheme adjusts the probability of a node to become a cluster-head,and controls the size of each cluster by using the energy level of the cluster-head and the distance vector from the sink.The simulation results show that,compared with the HEED(hybrid,energy-efficient,distributed clustering approach) protocol,this scheme improves the network life-time and stable-time up to 21% and 40% respectively.