基于灰预测的无线传感器网络跟踪策略研究

摘要

基于预测的目标跟踪是无线传感器网络一个重要的应用，但在实际情况下，由于跟踪目标产生大量数据计算以及传输，从而导致无线传感器网络能量消耗极大。为了克服过大的数据计算导致节点过早死亡的现象，提出了一种基于灰预测的节点协同跟踪策略，引入主通信节点和主预测节点，由主预测节点负责计算目标位置、预测出现节点的区域。主通信节点负责数据的上传，节点唤醒。同时，由这些通信节点建立起一条数据传输线路，避免泛洪式数据传输损耗网络能量。通过实验仿真表明，该策略在保证目标跟踪精度的前提下，均衡网络的能量损耗，避免节点因能量耗尽过早的死亡。%It is a very important application of target tracking which is based on gery prediction in wireless sensor net ‐works .However ,a large amount of calculation and transmission which is produced by tracking target lead to high consump ‐tion of wireless sensor networks' energy .A strategy of nodes collaborative tracking based on grey prediction is proposed to solve the phenomenon that a large amount of data leads to the death of nodes prematurely ,bringing in the main communica‐tion node and main prediction node ,target position is figured out by the main prediction node ,area of nodes appearance is predicted by the main prediction .Uploading of data and node waken‐up is charged by the main communication node .Mean‐while ,a line of data communication is built up by these main communication node to avoid depleting networks' energy due to the data communication floodly .Simulation results show that the strategy can balance energy consumption and avoid death of node energy is consumpted prematurely under a certain tracking precision .