Differential multidimensional scaling for self-localization of TDOA sensor networks

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

doi:10.1109/WCNC.2017.7925868

Differential multidimensional scaling for self-localization of TDOA sensor networks

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

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

1 Cita (Scopus)

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 original	Inglés
Título de la publicación alojada	2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781509041831
DOI	https://doi.org/10.1109/WCNC.2017.7925868
Estado	Publicada - 10 may. 2017
Evento	2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, Estados Unidos Duración: 19 mar. 2017 → 22 mar. 2017

Serie de la publicación

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

Conferencia

Conferencia	2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
País/Territorio	Estados Unidos
Ciudad	San Francisco
Período	19/03/17 → 22/03/17

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Publisher Copyright:
© 2017 IEEE.

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10.1109/WCNC.2017.7925868

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Schmitz, J., Shojaee, S., Toledo, S., Reyes, R. C. H., Radhakrishnan, V., & Mathar, R. (2017). Differential multidimensional scaling for self-localization of TDOA sensor networks. En 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings Artículo 7925868 (IEEE Wireless Communications and Networking Conference, WCNC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2017.7925868

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title = "Differential multidimensional scaling for self-localization of TDOA sensor networks",

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.",

keywords = "Multidimensional scaling, Self-localization, Sensor networks, Time difference of arrival",

author = "Johannes Schmitz and Saeed Shojaee and Sivan Toledo and Reyes, {Roberto Carlos Hincapie} and Vimal Radhakrishnan and Rudolf Mathar",

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Schmitz, J, Shojaee, S, Toledo, S, Reyes, RCH, Radhakrishnan, V & Mathar, R 2017, Differential multidimensional scaling for self-localization of TDOA sensor networks. En 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings., 7925868, IEEE Wireless Communications and Networking Conference, WCNC, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017, San Francisco, Estados Unidos, 19/03/17. https://doi.org/10.1109/WCNC.2017.7925868

Differential multidimensional scaling for self-localization of TDOA sensor networks. / Schmitz, Johannes; Shojaee, Saeed; Toledo, Sivan et al.
2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 7925868 (IEEE Wireless Communications and Networking Conference, WCNC).

Producción científica: Capítulo del libro/informe/acta de congreso › Ponencia publicada en las memorias del evento con ISBN › revisión exhaustiva

TY - GEN

T1 - Differential multidimensional scaling for self-localization of TDOA sensor networks

AU - Schmitz, Johannes

AU - Shojaee, Saeed

AU - Toledo, Sivan

AU - Reyes, Roberto Carlos Hincapie

AU - Radhakrishnan, Vimal

AU - Mathar, Rudolf

PY - 2017/5/10

Y1 - 2017/5/10

N2 - 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.

AB - 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.

KW - Multidimensional scaling

KW - Self-localization

KW - Sensor networks

KW - Time difference of arrival

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DO - 10.1109/WCNC.2017.7925868

M3 - Ponencia publicada en las memorias del evento con ISBN

AN - SCOPUS:85019682246

T3 - IEEE Wireless Communications and Networking Conference, WCNC

BT - 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017

Y2 - 19 March 2017 through 22 March 2017

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Schmitz J, Shojaee S, Toledo S, Reyes RCH, Radhakrishnan V, Mathar R. Differential multidimensional scaling for self-localization of TDOA sensor networks. En 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. 7925868. (IEEE Wireless Communications and Networking Conference, WCNC). doi: 10.1109/WCNC.2017.7925868

Differential multidimensional scaling for self-localization of TDOA sensor networks

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