RSS-based node localization in the presence of attenuating objects

Andrea Edelstein, Xi Chen, Yunpeng Li, Michael Rabbat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Node localization is an important task in the context of wireless sensor networks. Although algorithms already exist to carry out localization using measurements of received signal strength (RSS), none of these methods take into account the attenuating and scattering effects of objects which lie within or around the network and which therefore affect the obtained RSS measurements. In this paper, we use a map of the attenuations seen over a given area in order to reinterpret the measured RSS values, thereby refining RSS-based node localization and providing significant improvements over existing algorithms. Simulation results are presented to demonstrate the performance gains which can be achieved using our method.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
PublisherIEEE
Pages3528-3531
Number of pages4
ISBN (Electronic)978-1-4577-0537-3
ISBN (Print)9781457705397
DOIs
Publication statusPublished - 12 Jul 2011
Event36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
Duration: 22 May 201127 May 2011

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Country/TerritoryCzech Republic
CityPrague
Period22/05/1127/05/11

Keywords

  • node localization
  • received signal strength impairments
  • shadowing
  • Wireless sensor networks

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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