Energy Balance Routing Protocol for Wireless Sensor Networks Based on Fuzzy Next-Hop Selection  

作　　者：LI Geyang CAO Yang GAO Xun TANG Juan 

机构地区：[1]School of Electronic Information, Wuhan University, Wuhan 430072, Hubei, China [2]State Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, Hubei, China

出　　处：《Wuhan University Journal of Natural Sciences》2009年第2期148-152,共5页武汉大学学报（自然科学英文版）

基　　金：Supported by the Research Fund for the Doctoral Program of Higher Education (20040486049);the Key Project of National Natural Science Foundation of China (60132030)

摘　　要：The implementation of energy balanced routing is an effective way to prolong the lifetime of wireless sensor networks （WSNs）. To balance energy consumption, fuzzy next-hop selecting strategy was designed： nodes of different gradients are fuzzily classified into relevant levels; each level has a chance to provide a node with maximum residual energy as the next-hop. Based on the above strategy and directed diffusion （DD）, fuzzy next-hop selection based energy balance （FNSEB） routing protocol was proposed. The simulation results showed that FNSEB utilized the limited energy more thoroughly and rationally, decreased the average energy consumption and prolonged the lifetime of WSNs.The implementation of energy balanced routing is an effective way to prolong the lifetime of wireless sensor networks （WSNs）. To balance energy consumption, fuzzy next-hop selecting strategy was designed： nodes of different gradients are fuzzily classified into relevant levels; each level has a chance to provide a node with maximum residual energy as the next-hop. Based on the above strategy and directed diffusion （DD）, fuzzy next-hop selection based energy balance （FNSEB） routing protocol was proposed. The simulation results showed that FNSEB utilized the limited energy more thoroughly and rationally, decreased the average energy consumption and prolonged the lifetime of WSNs.

关 键 词：wireless sensor networks （WSNs） energy balanced routing fuzzy next-hop selection gradient directed diffusion （DD） 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] TN915.04[自动化与计算机技术—控制科学与工程]