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首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >RASS: A Real-Time, Accurate, and Scalable System for Tracking Transceiver-Free Objects
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RASS: A Real-Time, Accurate, and Scalable System for Tracking Transceiver-Free Objects

机译：RASS：实时，准确和可扩展的系统，用于跟踪无收发器的对象

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摘要

Transceiver-free object tracking is to trace a moving object that does not carry any communication device in an environment with some monitoring nodes predeployed. Among all the tracking technologies, RF-based technology is an emerging research field facing many challenges. Although we proposed the original idea, until now there is no method achieving scalability without sacrificing latency and accuracy. In this paper, we put forward a real-time tracking system RASS, which can achieve this goal and is promising in the applications like the safeguard system. Our basic idea is to divide the tracking field into different areas, with adjacent areas using different communication channels. So, the interference among different areas can be prevented. For each area, three communicating nodes are deployed on the ceiling as a regular triangle to monitor this area. In each triangle area, we use a Support Vector Regression (SVR) model to locate the object. This model simulates the relationship between the signal dynamics caused by the object and the object position. It not only considers the ideal case of signal dynamics caused by the object, but also utilizes their irregular information. As a result, it can reach the tracking accuracy to around 1 m by just using three nodes in a triangle area with 4 m in each side. The experiments show that the tracking latency of the proposed RASS system is bounded by only about 0.26 m. Our system scales well to a large deployment field without sacrificing the latency and accuracy.
机译：无收发器的对象跟踪用于跟踪在预先部署了某些监视节点的环境中不携带任何通信设备的移动对象。在所有跟踪技术中，基于RF的技术是一个新兴的研究领域，面临许多挑战。尽管我们提出了最初的想法，但是到目前为止，还没有一种方法能够在不牺牲延迟和准确性的情况下实现可扩展性。本文提出了一种实时跟踪系统RASS，可以实现这一目标，在保障系统等应用中具有广阔的前景。我们的基本思想是将跟踪字段划分为不同的区域，相邻区域使用不同的通信渠道。因此，可以防止不同区域之间的干扰。对于每个区域，三个通信节点作为规则三角形部署在天花板上，以监视该区域。在每个三角形区域中，我们使用支持向量回归（SVR）模型来定位对象。该模型模拟了由对象引起的信号动力学与对象位置之间的关系。它不仅考虑了由对象引起的信号动力学的理想情况，而且还利用了它们不规则的信息。结果，仅使用三角形区域中的三个节点（每边各4 m）就可以达到1 m左右的跟踪精度。实验表明，所提出的RASS系统的跟踪等待时间仅受到约0.26 m的限制。我们的系统可以很好地扩展到大型部署领域，而不会牺牲延迟和准确性。

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