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

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

Conference

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

Keywords

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

All Science Journal Classification (ASJC) codes

  • General Engineering

Fingerprint

Dive into the research topics of 'Differential multidimensional scaling for self-localization of TDOA sensor networks'. Together they form a unique fingerprint.

Cite this