基于PF优化的WSN最优路由估计方法  

WSN Optimal Routing Estimation Method Based on PF Optimization

作　　者：罗亚东[1] 

机构地区：[1]四川水利职业技术学院信息工程系,四川成都611230

出　　处：《内蒙古师范大学学报（自然科学汉文版）》2016年第2期237-241,共5页Journal of Inner Mongolia Normal University(Natural Science Edition)

基　　金：四川省"十二五"教育信息技术科研项目(SC201453)

摘　　要：能耗与延时是无线传感网络节点数据传输的关键指标,为进一步优化两者在最优路由中的引导作用,提出了一种拟粒子滤波WSN最优路由估计方法.首先,在无线传感网络的检测区域内,依据能耗大小选择簇头分布集合,并将簇头集合作为采样粒子集合,通过能耗与延时联合构建适应度函数组成权重度量函数.然后,采用差分进化的方法进行簇头粒子集合的更新,有效克服了簇头粒子衰退现象.仿真结果表明,该方法能够很好地估计和均衡节点剩余能量,并能有效提升节点的生存能力和发送数据的有效性.The energy consumption and time delay are two key indicators for the data transmission of wireless sensor network node. In order to further optimize the lead role in the optimal routing, this paper proposes a quasi particle filter for WSN optimal routing estimation method. First of all, cluster head sets are selected according to the energy consumption in wireless sensor network detection area,and the cluster head sets are used as PF particle sets. The fitness function weighting measurement function is constructed by the energy consumption and time delay~ Secondly, the differential evolution method is used to update the cluster head sets, which overcomes the recession phenomenon effectively. Simulation results show that the proposed method can estimation and equalization node residual energy effectively, and improve the survival ability of the nodes and the effectiveness of sending data.

关 键 词：无线传感网络 粒子滤波 差分进化 路由选择 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]