基于运动学的无线传感器网络多目标跟踪

A. Rahman, A. Mollah, Mahmuda Naznin
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引用次数: 1

摘要

目标跟踪被认为是无线传感器网络的主要应用之一。在无线传感器网络中,由于目标的运动方向不同、目标的速度变化以及低功率传感器节点频繁的连接故障,使得跟踪多个目标比跟踪单个目标更具挑战性。如果所有的低功率传感器节点都处于活动状态,同时跟踪来自网络不同方向的多个目标,那么由于功率浪费导致网络故障的可能性很大。如果可以减少跟踪区域,从而减少活跃的传感器节点数量,从而减少网络消耗的能量,这将是更现实的。利用目标的运动学特性可以减小跟踪面积。目前几乎没有基于目标运动学的多目标跟踪方法。本文提出了一种考虑目标运动特性的分布式多目标跟踪方法。我们用传感器网络模拟器omnet++对我们的方法进行了仿真,实验结果表明,我们提出的方法优于传统的跟踪算法。
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Multiple Targets Tracking Using Kinematics in Wireless Sensor Networks
Target tracking is considered as one of the cardinal applications of a wireless sensor network. Tracking multiple targets is more challenging than tracking a single target in a wireless sensor network due to targets’ movement in different directions, targets’ speed variations and frequent connectivity failures of low powered sensor nodes. If all the low-powered sensor nodes are kept active in tracking multiple targets coming from different directions of the network, there is high probability of network failure due to wastage of power. It would be more realistic if the tracking area can be reduced so that less number of sensor nodes will be active and therefore, the network will consume less energy. Tracking area can be reduced by using the target’s kinematics. There is almost no method to track multiple targets based on targets’ kinematics. In our paper, we propose a distributed tracking method for tracking multiple targets considering targets’ kinematics. We simulate our method by a sensor network simulator OMNeT++ and empirical results state that our proposed methodology outperforms traditional tracking algorithms.
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