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Cooperative localization based on severely quantized RSS measurements in wireless sensor network
Technical University Darmstadt, Germany.
Ericsson AB, Linköping, Sweden.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
Technical University Darmstadt, Germany.
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2016 (English)In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Institute of Electrical and Electronics Engineers (IEEE), 2016, 4214-4218 p.Conference paper, Published paper (Refereed)
Abstract [en]

We study severely quantized received signal strength (RSS)-based cooperative localization in wireless sensor networks. We adopt the well-known sum-product algorithm over a wireless network (SPAWN) framework in our study. To address the challenge brought by severely quantized measurements, we adopt the principle of importance sampling and design appropriate proposal distributions. Moreover, we propose a parametric SPAWN in order to reduce both the communication overhead and the computational complexity. Experiments with real data corroborate that the proposed algorithms can achieve satisfactory localization accuracy for severely quantized RSS measurements. In particular, the proposed parametric SPAWN outperforms its competitors by far in terms of communication cost. We further demonstrate that knowledge about non-connected sensors can further improve the localization accuracy of the proposed algorithms.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. 4214-4218 p.
Series
International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Keyword [en]
Distributed cooperative localization, SPAWN, quantized RSS, wireless sensor network
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-128632DOI: 10.1109/ICASSP.2016.7472471ISI: 000388373404072ISBN: 978-1-4799-9988-0 (print)OAI: oai:DiVA.org:liu-128632DiVA: diva2:930921
Conference
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 20-25 March, 2016
Available from: 2016-05-25 Created: 2016-05-25 Last updated: 2017-01-11

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Fritsche, CarstenGustafsson, Fredrik

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf