Differential multidimensional scaling for self-localization of TDOA sensor networks

Johannes Schmitz, Saeed Shojaee, Sivan Toledo, Roberto Carlos Hincapie Reyes, Vimal Radhakrishnan, Rudolf Mathar

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

    1 Scopus citations

    Abstract

    We present a novel algorithm for self-localization in sensor networks without any prior knowledge on the locations of the sensors. We assume that all sensors in the network can receive and transmit, thus we obtain time difference of arrival measurements for all combinations of sensors. Using the full set of these differences in arrival times in the network we are able to obtain the relative location of the sensors nodes, the shape of the network. This leaves us with the problem of anchoring the network to its absolute location, which we solve using additional transmitting beacons at known locations. Experimental results from numerical simulation demonstrate the performance of our approach under various conditions.

    Original languageEnglish
    Title of host publication2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781509041831
    DOIs
    StatePublished - 10 May 2017
    Event2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, United States
    Duration: 19 Mar 201722 Mar 2017

    Publication series

    NameIEEE Wireless Communications and Networking Conference, WCNC
    ISSN (Print)1525-3511

    Conference

    Conference2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
    Country/TerritoryUnited States
    CitySan Francisco
    Period19/03/1722/03/17

    Bibliographical note

    Publisher Copyright:
    © 2017 IEEE.

    Keywords

    • Multidimensional scaling
    • Self-localization
    • Sensor networks
    • Time difference of arrival

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