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

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

doi:10.1109/ICC.2013.6654805

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 proceeding › Conference proceeding contribution › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	ICC 2013
Subtitle of host publication	IEEE International Conference on Communications : proceedings
Editors	Dong-In Kim, Peter Mueller
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1931-1935
Number of pages	5
ISBN (Electronic)	9781467331227
DOIs	https://doi.org/10.1109/ICC.2013.6654805
Publication status	Published - 2013
Externally published	Yes
Event	IEEE International Conference on Communications - Budapest, Hungary Duration: 9 Jun 2013 → 13 Jun 2013

Other

Other	IEEE International Conference on Communications
Country/Territory	Hungary
City	Budapest
Period	9/06/13 → 13/06/13

Keywords

Gaussian processes
Kernel methods
Sensor networks
imperfect communication channels

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10.1109/ICC.2013.6654805

Cite this

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title = "Estimation of correlated and quantized spatial random fields in wireless sensor networks",

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.",

keywords = "Gaussian processes, Kernel methods, Sensor networks, imperfect communication channels",

author = "Ido Nevat and Peters, {Gareth W.} and Collings, {Iain B.}",

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doi = "10.1109/ICC.2013.6654805",

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pages = "1931--1935",

editor = "Dong-In Kim and Peter Mueller",

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note = "IEEE International Conference on Communications ; Conference date: 09-06-2013 Through 13-06-2013",

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Nevat, I, Peters, GW & Collings, IB 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. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 1931-1935, IEEE International Conference on Communications, Budapest, Hungary, 9/06/13. https://doi.org/10.1109/ICC.2013.6654805

Estimation of correlated and quantized spatial random fields in wireless sensor networks. / Nevat, Ido; Peters, Gareth W.; Collings, Iain B.
ICC 2013: IEEE International Conference on Communications : proceedings. ed. / Dong-In Kim; Peter Mueller. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2013. p. 1931-1935.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Peters, Gareth W.

AU - Collings, Iain B.

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - Gaussian processes

KW - Kernel methods

KW - Sensor networks

KW - imperfect communication channels

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M3 - Conference proceeding contribution

AN - SCOPUS:84891366567

SP - 1931

EP - 1935

BT - ICC 2013

A2 - Kim, Dong-In

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PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - IEEE International Conference on Communications

Y2 - 9 June 2013 through 13 June 2013

ER -

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

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