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基于蚁群算法的无线传感器网络能量有效路由算法研究
引用本文:童孟军,俞立,郑立静,董齐芬. 基于蚁群算法的无线传感器网络能量有效路由算法研究[J]. 传感技术学报, 2011, 24(11): 1632-1638. DOI: 10.3969/j.issn.1004-1699.2011.11.023
作者姓名:童孟军  俞立  郑立静  董齐芬
作者单位:1. 浙江工业大学信息工程学院,杭州310032;杭州电子科技大学计算机学院,杭州310018
2. 浙江工业大学信息工程学院,杭州,310032
3. 杭州电子科技大学计算机学院,杭州,310018
基金项目:国家自然科学基金重点项目(60834003)
摘    要:本文结合蚁群算法的理论,提出了改进的能量有效路由算法(IEEABR),该算法在蚂蚁数据包结构、概率选择公式及信息素更新公式等方面做了改进.通过为前向蚂蚁与后向蚂蚁设计不同的报文结构提高了传输效率.概率选择过程中考虑邻居剩余能量的相对大小,能够避免蚂蚁选择能量较小的邻居作为下一跳,均衡了网络能量的消耗.让前向蚂蚁在路径搜...

关 键 词:无线传感器网络  路由算法  蚁群优化  能量均衡  NS2仿真

A Study on the Energy-efficient Ant-based Routing Algorithm for Wireless Sensor Networks
TONG Mengjun,YU Li,ZHENG Lijng,DONG Qifen. A Study on the Energy-efficient Ant-based Routing Algorithm for Wireless Sensor Networks[J]. Journal of Transduction Technology, 2011, 24(11): 1632-1638. DOI: 10.3969/j.issn.1004-1699.2011.11.023
Authors:TONG Mengjun  YU Li  ZHENG Lijng  DONG Qifen
Affiliation:TONG Mengjun1,2,YU L i1,ZHENG Lijing2,DONG Qif en1(1.College of Information Engineering,Zhejiang Universit y of Technology,Hangzhou 310032,China; 2.Computer School of HangZhou DianZi University,HangZhou 310018,China)
Abstract:In this paper,an improved energy-efficient ant-based routing algorithm(IEEABR)is proposed according to the theory of ant colony optimization.In the proposed algorithm,the improved aspects include ant packet structure,formulas of probability selection and pheromone updating.The data transmission efficiency is increased by designing different packet structures for forward ants and backward ants.In the procedure of probability selection,considering the residual energy of an ant’s neighbor,it is impossible that the neighbor node with less residual energy is selected as its next hop node,which balances the energy cost of a network.The path optimization is performed in the new approach by making a forward ant release pheromone in the path search process which accelerates convergence process of the algorithm.At the same time,a list of neighbor nodes address is added into forward ant packets for reducing the occurrence probability of routing loops.A series of simulations for IEEABR are performed by using NS2.The simulation results show that the proposed algorithm can prolong the network lifetime,and reduce the average energy consumption effectively.
Keywords:wireless sensor networks  routing algorithm  ant colony optimization  energy balance  NS2 simulation
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