MHR无线传感器网络梯度场动态调整策略  

Dynamic adjusting policies on minimum hop gradient field in MHR wireless sensor networks

作　　者：郑明才[1,2] 张大方[1,3] 赵小超[2] 

机构地区：[1]湖南大学计算机与通信学院,长沙410082 [2]湖南第一师范学院信息科学与工程系,长沙410205 [3]湖南大学软件学院,长沙410082

出　　处：《计算机工程与应用》2011年第8期83-86,共4页Computer Engineering and Applications

基　　金：湖南省科技计划项目(No.2009GK3076);湖南省教育厅科学研究项目(No.08C015;No.08C017);湖南第一师范校基金(No.XYS08N05)~~

摘　　要：为了适应无线传感器网络的动态拓扑结构特性、提高数据汇聚的可靠性,MHR无线传感器网络的最小跳数梯度场应该实时动态更新。为节省能量,节点可实时监听其梯度化邻居节点信息并据此动态调整其拥有的最小跳数值,以实现MHR无线传感器网络最小跳数梯度场的廉价动态实时更新。理论分析和仿真结果表明该方法在无线传感器网络物理拓扑结构不发生大规模突变的状态下具有良好的效果。In order to adapt to the dynamic topology structure of wireless sensor networks and improve the reliability of data sinking,the minimum hop routing wireless sensor networks must adjust its minimum hop gradient field real time.Considering for energy conservation,every node can monitor the information of its gradient neighbors in real time and dynamically adjust its minimum hop count value,so the network’s minimum hop gradient field is updated real time and at an ease rate.Theoretical analysis and simulation results show that the method is efficient when the change of network physical topology structure is small-scale and without mutation.

关 键 词：无线传感器网络 最小跳数路由 最小跳数梯度场 动态调整 可靠性 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]