基于位置预测的无线传感器网络目标跟踪算法

摘要

For the existing location - based prediction target tracking algorithm is not perfect. So a location - based prediction target tracking algorirthm (LBP), (or Wireless Sensor Network, was proposed. There are three parts in LBP. Prediction based self-similar target tracking algorithm , target tracking based on dynamic wakeup cluster (DWC) . And three levels recovery mechanism. The experiment results show that; LBP algorithm can achieve better performance on energy efficiency, tracking prediction, and target loss rate; the three target tracking recovery mechanism, search the target node by activating note gradually .%针对现有的基于位置预测的目标跟踪算法还不完善问题,提出了一种新的基于目标位置预测的分布式无线传感器网络目标跟踪算法(location- based prediction,LBP).LBP算法包括3部分,即基于自相似技术的目标位置预测算法(prediction based self-sim-lar,PBSS)、基于动态唤醒簇(dynamic wakeup cluster,DWC)的目标跟踪和三级目标恢复机制.实验结果表明:LBP算法的目标预测精度高、跟踪过程中的节点能量消耗小、目标跟踪误差小,并且目标丢失率低;其三级目标跟踪恢复机制,通过逐步扩大激活节点的范围来寻找目标.由此可见采e这种方法,无线传感器网络跟踪目标能量消耗更小,目标丢失率更低.