| 改进的蚁群优化算法在无线传感器网络中的应用 |
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| 引用本文： | 焦斌,熊友平,顾幸生.改进的蚁群优化算法在无线传感器网络中的应用[J].吉林大学学报(工学版),2011(Z1):215-219. |
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| 作者姓名： | 焦斌 熊友平 顾幸生 |
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| 作者单位： | 上海电机学院电气学院;华东理工大学信息科学与工程学院 |
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| 基金项目： | 上海市科委基础研究重点项目(10JC1405800);上海市科委项目(08DZ1200505);闵行区科委项目(2010MH181);上海市教委重点学科(J51901);上海电机学院项目(09C401) |
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| 摘 要： | 针对无线传感器网络节点能量十分有限的特点,将蚁群优化算法应用到传感器网络的路由中,提出了一种改进的蚁群路由算法(IARA)。在考虑节点剩余能量、传输方向和节点距离等因素的基础上,对基本蚁群算法的概率选择公式和信息素更新公式进行了改进,实现了能量在整个传感器网络上的均衡消耗。仿真结果表明:该算法减少了传感器网络的能量消耗,并且使能量消耗更加均衡,从而提高了整个无线传感器网络的生存寿命。
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| 关 键 词： | 计算机软件 无线传感器网络 蚁群算法 能量 |
Improved ant-based routing algorithm for wireless sensor networks |
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| JIAO Bin,XIONG You-ping,GU Xing-sheng.Improved ant-based routing algorithm for wireless sensor networks[J].Journal of Jilin University:Eng and Technol Ed,2011(Z1):215-219. |
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| Authors: | JIAO Bin XIONG You-ping GU Xing-sheng |
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| Affiliation: | 1.School of Electrical Engineering,Shanghai Dianji University,Shanghai 200240,China;2.School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China) |
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| Abstract: | As the energy of the sensor nodes in wireless sensor network(WSN) is limited,and colony optimization algorithm was applied to solve the routing problems in WSN,and an improved ant-based routing algorithm(IARA)was proposed.Considering the factors of remained energy,transmitting direction,and distance between nodes,the probabilistic selecting formula and the pheromone updating formulat in the basic ant colony optimization algorithm is modified to balance the energy consumption in WSN.Simulation results show that this algorithm greatly reduced and balanced energy consumption,the lifetime of the entire wireless sensor network can be prolonged. |
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| Keywords: | computer software wireless sensor network ant colony algorithm energy |
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