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无线传感器网络模糊逻辑分簇路由协议
引用本文:闫会芹,何加铭,郑紫微,曾兴斌. 无线传感器网络模糊逻辑分簇路由协议[J]. 无线电通信技术, 2013, 0(6): 18-21,54
作者姓名:闫会芹  何加铭  郑紫微  曾兴斌
作者单位:[1]宁波大学通信技术研究所,浙江宁波315211 [2]浙江省移动网应用技术重点实验室,浙江宁波315211
基金项目:国家科技重大专项;浙江省移动网络应用技术重点实验室;浙江省新一代移动互联网用户端软件科技创新团队;浙江省重点科技创新团队项目;浙江省重大科技专项重点工业项目.
摘    要:在无线传感器网络(Wireless Sensor Network,WSN)中,LEACH协议通过概率模型来选举簇头,由于没有考虑到传感器节点的分布情况和能量剩余等信息,可能会使得部分节点过早死亡.针对这一问题,提出基于模糊逻辑的分簇路由协议(DFLCP).在预选簇头阶段,根据节点剩余能量等信息利用模糊逻辑计算出节点的竞争半径,使得簇头分布相对均匀;在簇头选举阶段,通过模糊逻辑确定节点成为簇头的概率.仿真结果表明:DFLCP协议可有效控制簇头节点的分布密度和簇的半径,均衡网络负载,延长节点平均生存时间.

关 键 词:无线传感网络  分簇  竞争半径  模糊逻辑

Research on Cluster-based Routing Protocol Using Fuzzy Logic in WSN
YAN Hui-qin,HE Jia- Ming,ZHENG Zi-wei,ZENG Xing-bin. Research on Cluster-based Routing Protocol Using Fuzzy Logic in WSN[J]. Radio Communications Technology, 2013, 0(6): 18-21,54
Authors:YAN Hui-qin  HE Jia- Ming  ZHENG Zi-wei  ZENG Xing-bin
Affiliation:1. Institute of Communication, Ningbo University, Ningbo Zhejiang 315211 , China ; 2. Key Laboratory of Mobile Internet Application Technology of Zhejiang Province,Ningbo Zhejiang 315211 , China)
Abstract:In wireless sensor networks(WSN) ,LEACH protocol elects a cluster-head based on probability model,some nodes may die untimely without considering the information such as the distribution and remaining energy of sensor nodes. In order to solve this problem,the Double Fuzzy Logic Clustering Protocol(DFLCP) based on fuzzy logic is proposed. In the primary cluster-head election phase, according to the information of nodes such as residual energy, DFLCP adjusts the competition radius of node by using fuzzy logic to realize uniform distribution of cluster-heads. In the cluster-head election phase,we determine the probability that the node becomes a cluster-head by fuzzy logic. The experimental results show that this algorithm can effectively control the distribution density of cluster- head node and competition radius of cluster, which reduces networks energy consumption and prolongs network lifetime.
Keywords:wireless sensor networks  clustering  competition radius  fuzzy logic
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