传感技术学报2017，Vol.30Issue(6)：929-934,6.DOI:10.3969/j.issn.1004-1699.2017.06.021
基于模糊逻辑推理的WSNs非均匀分簇算法
Fuzzy Logic-Based Unequal Clustering Algorithm for Wireless Sensor Networks?
摘要
Abstract
In order to reduce the energy consumption and prolong the network lifetime of Wireless Sensor Networks ( WSNs) , distributed fuzzy logic inference-based unequal clustering routing is proposed in this paper, which is marked as DUCF. DUCF protocol fully consider the residual energy of the node,distance to base station,and the de-gree of node. It makes some fuzzy rules,and calculates probability of cluster head and size of cluster through the fuzzy inference system. DUCF forms unequal clusters to balance the energy consumption among the cluster headers. Simulation results show that the proposed DUCF performs better in term of network lifetime and energy consumption as compared to LEACH,CHEF and EAUCF protocols.关键词
无线传感网/分簇/模糊逻辑推理/非均匀/剩余能量Key words
wireless sensor network/clustering/fuzzy logic inference/unequal/residual energy分类
信息技术与安全科学引用本文复制引用
杨健冬,王文娟..基于模糊逻辑推理的WSNs非均匀分簇算法[J].传感技术学报,2017,30(6):929-934,6.基金项目
国家自然科学基金项目( 31630034) （ 31630034）
河南省基础与前沿技术研究计划项目( 142300410283) （ 142300410283）
