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

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.