基于模糊逻辑的多跳WSNs分簇算法

针对无线传感器网络节点能量消耗不均衡和网络寿命过短的问题,提出一种基于模糊逻辑的多跳WSNs分簇算法(FLCMN).该算法综合考虑节点剩余能量、节点邻居个数、邻居节点的平均剩余能量.根据预先设定模糊规则库,利用模糊系统评估出当选簇头的满意度.额外考虑邻居节点平均剩余能量,改善了簇内热点问题,均衡了簇内能量的消耗;同时,为了改善簇间热点问题,提出一种基于斐波那契序列的多跳传输方式,延长了网络的生存时间.通过仿真验证,FLCAMN算法在网络生存时间和能量消耗方面的性能都优于LEACH、EAMMH和DFLC算法.

A multi-hop WSNs clustering algorithm based on fuzzy logic

In order to address the problem of unbalanced energy consumption and short network lifetime in wireless sensor networks(WSNs), a multi-hop WSNs clustering algorithm (FLCMN) based on fuzzy logic is proposed. The algorithm considers the residual energy of nodes, the number of neighbor nodes and the average residual energy of neighbor nodes. According to the pre-set fuzzy rule base, the fuzzy system is used to evaluate the satisfaction of the elected cluster head. In addition, the average residual energy of neighbor nodes is taken into consideration, which can address the hot spots problem and balances the energy consumption in clusters. At the same time, a multi-hop transmission scheme based on Fibonacci sequence is proposed to prolong the lifetime of the network and solve hot spots issues. Simulation results show that the proposed FLCAMN algorithm performs better in terms of network lifetime and energy consumption as compared to LEACH, EAMMH and DFLC algorithms.