基于遗传算法的无线传感器网络自适应数据融合路由算法  

An Adaptive Data Fusion Routing Algorithm Based on Genetic Algorithm for Wireless Sensor Networks

作　　者：王天荆[1] 杨震[1] 胡海峰[1] 

机构地区：[1]南京邮电大学信息与信号处理研究所

出　　处：《电子与信息学报》2007年第9期2244-2247,共4页Journal of Electronics & Information Technology

基　　金：国家"863"计划项目(2002AA121068);教育部重点科技项目(20655)资助课题

摘　　要：针对移动代理以能量有效的方式收集相关性数据的问题,该文提出了一种新的基于遗传算法的自适应数据融合路由算法。算法选择移动代理路由时,根据数据传输和融合能量开销及节能增益,对移动代理迁移到每个传感器节点是否进行数据融合做自适应选择,以在信息收集过程中提高网络能量效率。仿真结果表明自适应数据融合路由算法的能量效率优于完全数据融合路由算法和最邻近启发式算法。A novel adaptive data fusion routing algorithm based on genetic algorithm is proposed in order to solve the problem of mobile agent collecting correlated data with energy validity. When selecting the data fusion routing, mobile agent moving to every sensor node that shall perform fusion is adaptively adjusted according to data transmission cost, data fusion cost and energy gain. The simulation results indicate that the energy efficiency of adaptive fusion routing algorithm has better performance than full fusion routing algorithm and local closest first heuristics algorithm.

关 键 词：无线传感器网络 数据融合 遗传算法 路由算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]