FlashTrack:用于传感器网络的快速网络内跟踪系统

Hao Jiang, Jiannan Zhai, J. Hallstrom
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引用次数: 2

摘要

我们用一种新颖、有效、直接的分布式解决方案来重新审视经典的对象跟踪问题。目标跟踪的难点在于典型传感器节点有限的计算能力与典型跟踪算法的处理要求不匹配。本文介绍了一种利用资源精益传感器跟踪移动目标的网络内系统。该系统基于分布式、动态范围跟踪算法,该算法根据目标速度改变事件检测区域和报告率。领导节点记录整个事件区域检测到的样本,并估计物体在原位的位置。我们在一个80节点的测试台上研究了我们的跟踪实现的性能。结果表明,即使对于非常快的对象,该方法也能达到很高的性能,并且易于在资源贫乏的传感器上实现。虽然该领域已经得到了很好的研究,但算法特征的独特组合代表了对文献的重要补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FlashTrack: A Fast, In-network Tracking System for Sensor Networks
We revisit the classic object tracking problem with a novel and effective, yet straightforward distributed solution for resource-lean devices. The difficulty of object tracking lies in the mismatch between the limited computational capacity of typical sensor nodes and the processing requirements of typical tracking algorithms. In this paper, we introduce an in-network system for tracking mobile objects using resource-lean sensors. The system is based on a distributed, dynamically-scoped tracking algorithm which alters the event detection region and reporting rate based on object speed. A leader node records the detected samples across the event region and estimates the object's location in situ. We study the performance of our tracking implementation on an 80-node test bed. The results show that it achieves high performance, even for very fast objects, and is readily implemented on resource-lean sensors. While the area is well-studied, the unique combination of algorithmic features represents a significant addition to the literature.
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