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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509041831
DOIs	https://doi.org/10.1109/WCNC.2017.7925868
State	Published - 10 May 2017
Event	2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, United States Duration: 19 Mar 2017 → 22 Mar 2017

Publication series

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

Conference

Conference	2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
Country/Territory	United States
City	San Francisco
Period	19/03/17 → 22/03/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Multidimensional scaling
Self-localization
Sensor networks
Time difference of arrival

Access to Document

10.1109/WCNC.2017.7925868

Cite this

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. In 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.. https://doi.org/10.1109/WCNC.2017.7925868

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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.",

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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. in 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, United States, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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

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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

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

PB - Institute of Electrical and Electronics Engineers Inc.

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. In 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). https://doi.org/10.1109/WCNC.2017.7925868

Differential multidimensional scaling for self-localization of TDOA sensor networks

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