On the Calibration and Performance of RSS-based Localization Methods

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    Abstract

    This paper analyzes the performance of several Received Signal Strength (RSS) based localization methods as a function of the calibration effort, hence as a function of deployment and maintenance costs. The deployment and maintenance costs determine the scalability and thus the applicability of a localization algorithm, and this is still a topic of research. This paper analyzes and compares the best available localization algorithms of the following localization methods: fingerprinting-, range- and proximity-based localization. An extensive amount of RSS measurements, performed in a realistic indoor environment show that range-based algorithms outperform fingerprinting and proximity-based localization algorithms when there is a limited amount of calibration measurements available. In that case, range-based algorithms have ~30% smaller errors, ~1.3 meter compared to ~1.9 meter. Our measurements show that fingerprinting-based algorithms approximate the performance of range-based algorithms as the number of calibration measurements increases from 1 to 80.
    Original languageUndefined
    Title of host publicationInternet of Things, IOT 2010
    Place of PublicationUSA
    PublisherIEEE Computer Society
    Pages1-8
    Number of pages8
    ISBN (Print)978-1-4244-7413-4
    DOIs
    Publication statusPublished - 29 Nov 2010
    EventInternet of Things, IOT 2010, Tokyo, Japan: Internet of Things, IOT 2010 - USA
    Duration: 29 Nov 2010 → …

    Publication series

    Name
    PublisherIEEE Computer Society

    Conference

    ConferenceInternet of Things, IOT 2010, Tokyo, Japan
    CityUSA
    Period29/11/10 → …

    Keywords

    • IR-75802
    • METIS-276323
    • Signal Strength
    • EWI-19455
    • Localization
    • EC Grant Agreement nr.: FP7/215923
    • Wireless Sensor Network

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