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Tracking with Unreliable Node Sequences (2009)

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by Ziguo Zhong , Ting Zhu , Dan Wang , Tian He
Venue:In INFOCOM
Citations:23 - 7 self
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BibTeX

@INPROCEEDINGS{Zhong09trackingwith,
    author = {Ziguo Zhong and Ting Zhu and Dan Wang and Tian He},
    title = {Tracking with Unreliable Node Sequences},
    booktitle = {In INFOCOM},
    year = {2009}
}

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Abstract

Abstract—Tracking mobile targets using sensor networks is a challenging task because of the impacts of in-the-filed factors such as environment noise, sensing irregularity and etc. This paper proposes a robust tracking framework using node sequences, an ordered list extracted from unreliable sensor readings. Instead of estimating each position point separately in a movement trace, we convert theoriginal trackingproblem totheproblem of findingthe shortest path in a graph, which is equivalent to optimal matching of aseries of nodesequences.In additiontothebasic design,multidimensional smoothing is developed to enhance tracking accuracy. Practical system deployment related issues are discussed in the paper, and the design is evaluated with both simulation and a system implementationusingPioneerIII Robot andMICAz sensor nodes. In fact, tracking with node sequences provides a useful layer of abstraction, making the design framework generic and compatible with different physical sensing modalities. I.

Keyphrases

unreliable node sequence    node sequence    environment noise    different physical sensing modality    practical system deployment    multidimensional smoothing    position point    optimal matching    additiontothebasic design    abstract tracking mobile target    challenging task    theoriginal trackingproblem totheproblem    useful layer    in-the-filed factor    unreliable sensor reading    sensor network    robust tracking framework    movement trace    ordered list    design framework generic   

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