基于平均能量阈值和模糊理论的无线网络聚类方案

Research of LEACH Sheme Optimization based on Average Energy Threshold and Fuzzy Theory

为了实现更好的无线传感器网络性能,提出一种优化的移动汇聚节点高效聚类方案,采用三层通信架构,即节点到簇头、簇头到超级簇头以及超级簇头到移动基站的通信.将传感器节点部署在感兴趣区域,在每次轮换中基于平均阈值和数值在[0, 1]之间的一个随机数以形成聚簇,每当随机因数低于节点生成的平均阈值时,节点将有机会成为簇头.通过模糊逻辑理论,基于模糊描述子来选择超级簇头,但额外考虑簇头的平均能量输入到模糊隶属度函数.仿真结果表明,与LEACH和Fuzzy-LEACH相比,所提方案的稳定周期分别提高了3.41%和3.06%;在网络工作寿命方面,分别提高了157%和46%.与IEERP相比,所提方案的稳定周期相当,但网络吞吐量更大,且工作寿命更长.

To achieve better performance of wireless sensor networks,an optimized efficient clustering scheme for mobile sink nodes was proposed,which adopts a three-layer communication architecture,the communication from node to cluster head,cluster head to super cluster head,and super cluster head to mobile base station.Firstly,the sensor nodes are deployed in the region of interest.In each rotation,the cluster was formed based on the average threshold and a random number whose value was between[0,1].Whenever the random factor was lower than the average threshold generated by the node,the node will have the opportunity to become the cluster head.Then,based on fuzzy logic theory,super cluster heads are selected based on Fuzzy descriptors,but the average energy input fuzzy membership function of cluster heads was considered.Simulation results show that compared with LEACH and Fuzzy-LEACH,the stability period of the proposed scheme was improved by at least 3.06%.In the aspect of network working life,it has increased 157%and 46%respectively.Compared with IEERP,the stability cycle was the same,but the network life was longer,the delay was moderate,and the throughput was the largest.