Estimation of correlated and quantized spatial random fields in wireless sensor networks

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

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

Abstract

We develop a novel approach for estimation and inference of spatial field defined over a two-dimensional space under quantized and imperfect channels communication constraints in wireless sensor networks. The objective is to derive an efficient solution for spatial intensity and exceedance estimation. The algorithm developed is based on a series expansion approach in which the first order is the familiar Laplace approximation utilising a Gaussian basis. We illustrate the efficiency of our approach through extensive simulations.

Original languageEnglish
Title of host publicationICC 2013
Subtitle of host publicationIEEE International Conference on Communications : proceedings
EditorsDong-In Kim, Peter Mueller
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1931-1935
Number of pages5
ISBN (Electronic)9781467331227
DOIs
Publication statusPublished - 2013
Externally publishedYes
EventIEEE International Conference on Communications - Budapest, Hungary
Duration: 9 Jun 201313 Jun 2013

Other

OtherIEEE International Conference on Communications
CountryHungary
CityBudapest
Period9/06/1313/06/13

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Keywords

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

Cite this

Nevat, I., Peters, G. W., & Collings, I. B. (2013). Estimation of correlated and quantized spatial random fields in wireless sensor networks. In D-I. Kim, & P. Mueller (Eds.), ICC 2013: IEEE International Conference on Communications : proceedings (pp. 1931-1935). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICC.2013.6654805