Cooperative localization in wireless sensor networks using combined measurements

Slavisa Tomic, Marko Beko, Rui Miguel Henriques Dias Morgado Dinis, Lazar Berbakov

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

3 Citations (Scopus)


This paper addresses node localization problem in a cooperative 3-D wireless sensor network (WSN), for both cases of known and unknown node transmit power, PT. We employ a hybrid system that combines distance and angle measurements, extracted from the received signal strength (RSS) and angle-of-arrival (AoA) information, respectively. Based on RSS measurement model and simple geometry, we derive a novel non-convex estimator based on the least squares (LS) criterion, which tightly approximates the maximum likelihood (ML) estimator for small noise. It is shown that the developed estimator can be transformed into a convex one by applying appropriate semidefinite programming (SDP) relaxation technique. Moreover, we show that the generalization of the proposed estimator for known PT is straightforward to the case where PT is not known. Our simulation results show that the new estimator has excellent performance in a great variety of considered scenarios, and is robust to not knowing PT.

Original languageEnglish
Title of host publication2015 23rd Telecommunications Forum, TELFOR 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)978-1-5090-0055-5
Publication statusPublished - 8 Jan 2016
Event23rd Telecommunications Forum, TELFOR 2015 - Belgrade, Serbia
Duration: 24 Nov 201526 Nov 2015


Conference23rd Telecommunications Forum, TELFOR 2015


  • Angle-of-arrival (AoA)
  • cooperative localization
  • received signal strength (RSS)
  • semidefinite programming (SDP)


Dive into the research topics of 'Cooperative localization in wireless sensor networks using combined measurements'. Together they form a unique fingerprint.

Cite this