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基于元胞蚁群优化算法的农业无线传感器网络路由研究
引用本文:孙玉文,沈明霞,陆明洲,熊迎军,刘龙申.基于元胞蚁群优化算法的农业无线传感器网络路由研究[J].传感器与微系统,2012,31(6):29-31,34.
作者姓名:孙玉文  沈明霞  陆明洲  熊迎军  刘龙申
作者单位:南京农业大学 工学院 江苏省智能化农业装备重点实验室,江苏 南京,210031
基金项目:江苏省科技支撑计划资助项目(BE2011336);南京农业大学青年科技创新基金资助项目(KJ2010033)
摘    要:无线传感器网络(WSNs)进行农业信息采集时,针对传感器节点数量多,能量消耗不均衡的特点,提出基于元胞蚁群优化(CACO)的WSNs路由算法。算法将网络中的节点映射成CACO算法中的元胞,通过改进蚂蚁信息素更新模型,引入睡眠唤醒机制,有效地减少了节点间的通信,从而改善能量消耗不均衡。仿真结果表明:该算法有效地减少了网络耗能、节点消亡数量,延长了网络生命期。

关 键 词:无线传感器网络  农田环境  元胞节点  蚁群算法

Research on agriculture WSNs routing based on cellular ant colony optimization algorithm
SUN Yu-wen , SHEN Ming-xia , LU Ming-zhou , XIONG Ying-jun , LIU Long-shen.Research on agriculture WSNs routing based on cellular ant colony optimization algorithm[J].Transducer and Microsystem Technology,2012,31(6):29-31,34.
Authors:SUN Yu-wen  SHEN Ming-xia  LU Ming-zhou  XIONG Ying-jun  LIU Long-shen
Affiliation:(Engineering School,Nanjing Agricultural University,Jiangsu Key laboratory for Intelligent Agricultural Equipment,Nanjing 210031,China)
Abstract:In order to overcome the problems of node numbers of sensors and unbalanced energy consumption in agriculture information collection with wireless sensor networks(WSNs),proposed a routing algorithm for WSNs based on the cellular ant colony optimization(CACO) algorithm.In this algorithm,network nodes are represented into CACO algorithm,and the communication between nodes is effectively reduced by improving ant pheromone update models and introducing mechanisms of sleep wake,therefore the problem of unbalanced energy consumption is improved.Simulation results show that the proposed algorithm effectively reduces network energy consumption and the number of dead nodes,and extends network lifetime.
Keywords:WSNs  farmland environment  cellular node  ant colony algorithm
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