传感器网络数据融合技术的研究与仿真

Research and Simulation on Data Aggregation of Wireless Sensor Networks

研究无线传感器数据融合问题,延长网络生命周期。由于传感器节点密度大,采集数据大量冗余,应对数据进行融合处理,采用数据融合算法对冗余数据合并,从而有效地节约能耗。为了很好地合并冗余数据,提出一种粒子群算法的传感器网络数据融合方法。通过移动代理建立数据的初始路由模型,通过粒子群中的粒子互相通信和协作求得路由模型最优解,即数据最优路由节点序列,从而实现数据融合。仿真结果表明,粒子群算法能很好的合并冗余数据,从而减少的网络能量消耗,有效降低网络延时,延长网络的生存时间。

Research about wireless sensor data fusion problem,sensor nodes have big density,collect data has massive redundancy,data fusion algorithm must be adopted to merger the redundant data,saving energy consumption.In order to merger redundant data well,the paper proposes a sensor network data fusion method by using particle swarm algorithm.Data initial routing model is established by mobile agent,and then routing model optimal solution is obtained through the particles communication and collaboration,data optimal routing node sequence is got,thus realize data fusion.Simulation results show that,compared with traditional data fusion algorithm,particle swarm algorithm can very good merger redundant data,reduce the network energy consumption and the network delay,make network expansibility better.