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Assessing Device-Free Passive Localization with a Single Access Point

  • Debraj Basu
  • , Syed Faraz Hasan

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Citations (Scopus)

    Abstract

    Device-free Passive Localization (DfPL) is concerned with positioning objects that do not carry an active electronic device, and hence do not participate in the positioning process. A typical DfPL setup employs a set of Access Points (APs) and Monitoring Points (MPs) in order to passively trace objects. In this paper, we examine DfPL using 1 AP and 2 MPs to better understand its performance in typical indoor environments. This paper reports results from several experiments that are conducted in a commercial indoor setting. A few interesting considerations related to real world experimentation are also summarized towards the end of this paper.

    Original languageEnglish
    Title of host publicationProceedings of the 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016
    Place of PublicationUnited States of America
    PublisherInstitute of Electrical and Electronics Engineers
    Pages493-496
    ISBN (Print)9781509040650, 9781509040667
    DOIs
    Publication statusPublished - 2016
    EventDASC/PiCom/DataCom/CyberSciTech 2016: 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress - Auckland, New Zealand
    Duration: 8 Aug 201612 Aug 2016

    Conference

    ConferenceDASC/PiCom/DataCom/CyberSciTech 2016: 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress
    Country/TerritoryNew Zealand
    CityAuckland
    Period8/08/1612/08/16

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