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On Topology of Sensor Networks Deployed for Tracking

机译：关于部署用于跟踪的传感器网络的拓扑

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摘要

In this paper, we study topologies of sensor networks deployed for tracking multiple targets with Blind Source Separation (BSS), a statistical signal processing technique widely used to recover individual signals from mixtures of signals. BSS-based tracking algorithms are proven to be effective in tracking multiple indistinguishable targets. The topology of a wireless sensor network deployed for tracking with BSS-based algorithms is critical to tracking performance: (a) The topology affects separation performance, (b) The topology determines accuracy and precision of estimation on the paths taken by targets. We propose cluster topologies for BSS-based tracking algorithms. Guidelines on parameter selection for proposed topologies are given in this paper. We evaluate proposed cluster topologies with extensive experiments. Our empirical experiments also show that BSS-based tracking algorithm can achieve comparable tracking performance in comparison with algorithms assuming single target or distinguishable targets.
机译：在本文中，我们研究了用于通过盲源分离（BSS）跟踪多个目标的传感器网络的拓扑，盲源分离是一种统计信号处理技术，广泛用于从信号混合中恢复单个信号。事实证明，基于BSS的跟踪算法可有效跟踪多个无法区分的目标。部署用于使用基于BSS的算法进行跟踪的无线传感器网络的拓扑结构对于跟踪性能至关重要：（a）拓扑结构会影响分离性能，（b）拓扑结构会确定目标所采用路径的估计准确性和精度。我们为基于BSS的跟踪算法提出了集群拓扑。本文给出了建议拓扑的参数选择指南。我们通过广泛的实验评估建议的群集拓扑。我们的经验实验还表明，与假设单个目标或可区分目标的算法相比，基于BSS的跟踪算法可以实现可比的跟踪性能。

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  • 来源
  • 会议地点 Chengdu(CN);Chengdu(CN)
  • 作者

    Ye Zhu; Anil Vikram; Huirong Fu;

  • 作者单位

    Department of Electrical and Computer Engineering Cleveland State University, Cleveland, USA;

    Department of Electrical and Computer Engineering Cleveland State University, Cleveland, USA;

    Department of Computer Science and Engineering Oakland University, Rochester, USA;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算机网络;
  • 关键词

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