Differential multidimensional scaling for self-localization of TDOA sensor networks

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

    Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

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    Resumen

    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.

    Idioma originalInglés
    Título de la publicación alojada2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
    EditorialInstitute of Electrical and Electronics Engineers Inc.
    ISBN (versión digital)9781509041831
    DOI
    EstadoPublicada - 10 may. 2017
    Evento2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, Estados Unidos
    Duración: 19 mar. 201722 mar. 2017

    Serie de la publicación

    NombreIEEE Wireless Communications and Networking Conference, WCNC
    ISSN (versión impresa)1525-3511

    Conferencia

    Conferencia2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
    País/TerritorioEstados Unidos
    CiudadSan Francisco
    Período19/03/1722/03/17

    Nota bibliográfica

    Publisher Copyright:
    © 2017 IEEE.

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