Inferring motion and location using WLAN RSSI

K. Kavitha Muthukrishnan, B.J. van der Zwaag, Paul J.M. Havinga

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

    14 Citations (Scopus)
    47 Downloads (Pure)

    Abstract

    We present novel algorithms to infer movement by making use of inherent fluctuations in the received signal strengths from existing WLAN infrastructure. We evaluate the performance of the presented algorithms based on classification metrics such as recall and precision using annotated traces obtained over twelve hours effectively from different types of environment and with different access point densities. We show how common deterministic localisation algorithms such as centroid and weighted centroid can improve when a motion model is included. To our knowledge, motion models are normally used only in probabilistic algorithms and such simple deterministic algorithms have not used a motion model in a principled manner. We evaluate the performance of these algorithms also against traces of RSSI data, with and without adding inferred mobility information.
    Original languageUndefined
    Title of host publicationThe Second International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments
    EditorsR. Fuller, X. Koutsoukos
    Place of PublicationNew York
    PublisherSpringer
    Pages163-182
    Number of pages20
    ISBN (Print)978-3-642-04378-9
    DOIs
    Publication statusPublished - 30 Sep 2009
    EventThe Second International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments, Orlando, Florida, U.S.A.: The Second International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments - New York
    Duration: 30 Sep 2009 → …

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume5801

    Conference

    ConferenceThe Second International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments, Orlando, Florida, U.S.A.
    CityNew York
    Period30/09/09 → …

    Keywords

    • METIS-263936
    • Motion inference
    • IR-67821
    • WLAN
    • RSSI
    • Localisation
    • EWI-15748

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