Localization in mobile wireless sensor networks via sequential global optimization

Ido Nevat, Gareth W. Peters, Iain B. Collings

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

Abstract

We develop a novel approach to source localization in mobile wireless sensor networks. Standard approaches make explicit assumptions relating to the statistical characteristics of the physical process and propagation environments which result from distributional model assumptions in a likelihood-based inference method. In contrast, we adopt an approach known in statistics as a non-parametric modeling framework which allows one to relax the number of required statistical assumptions, specifically with regard to the distributional properties of the received signal and the physical process. This is achieved via a re-formulation of the problem as a flexible non-parametric regression model via the framework of Gaussian Processes. Coupling this modeling perspective with a Bayesian optimization mechanism, we frame the global optimization objective as a sequential decision problem. We then develop an efficient algorithm to sequentially select the optimal location at which the mobile sensor should obtain observations under communication and mobility constraints. Simulation results demonstrate the efficiency of the algorithm at achieving accurate localization in a wireless sensor network.

Original languageEnglish
Title of host publication2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages281-285
Number of pages5
ISBN (Electronic)9781457713484
ISBN (Print)9781467362351, 9781467362337
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013 - London, United Kingdom
Duration: 8 Sep 201311 Sep 2013

Other

Other2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013
CountryUnited Kingdom
CityLondon
Period8/09/1311/09/13

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Keywords

  • Gaussian processes
  • Imperfect communication channels
  • Kernel methods
  • Sensor networks

Cite this

Nevat, I., Peters, G. W., & Collings, I. B. (2013). Localization in mobile wireless sensor networks via sequential global optimization. In 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013 (pp. 281-285). [6666146] Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/PIMRC.2013.6666146