Distributed wavelet transform for irregular sensor network grids

Raymond Wagner; Hyeokho Choi; Richard Baraniuk; Véronique Delouille

doi:10.1109/ssp.2005.1628777

Distributed wavelet transform for irregular sensor network grids

Raymond Wagner, Hyeokho Choi, Richard Baraniuk, Véronique Delouille

Houston Methodist

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

41 Scopus citations

Abstract

Wavelet-based distributed data processing holds much promise for sensor networks; however, irregular sensor node placement precludes the direct application of standard wavelet techniques. In this paper, we develop a new distributed wavelet transform based on lifting that takes into account irregular sampling and provides a piecewise-planar multiresolution representation of the sensed data. We develop the transform theory; outline how to implement it in a multi-hop, wireless sensor network; and illustrate with several simulations. The new transform performs on par with conventional wavelet methods in a head-to-head comparison on a regular grid of sensor nodes.

Original language	English (US)
Title of host publication	2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Book of Abstracts
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1196-1201
Number of pages	6
ISBN (Print)	0780394046, 9780780394049
DOIs	https://doi.org/10.1109/ssp.2005.1628777
State	Published - 2005
Event	2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Bordeaux, France Duration: Jul 17 2005 → Jul 20 2005

Publication series

Name	IEEE Workshop on Statistical Signal Processing Proceedings
Volume	2005

Other

Other	2005 IEEE/SP 13th Workshop on Statistical Signal Processing
Country/Territory	France
City	Bordeaux
Period	7/17/05 → 7/20/05

ASJC Scopus subject areas

Signal Processing

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10.1109/ssp.2005.1628777

Cite this

Wagner, R., Choi, H., Baraniuk, R., & Delouille, V. (2005). Distributed wavelet transform for irregular sensor network grids. In 2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Book of Abstracts (pp. 1196-1201). Article 1628777 (IEEE Workshop on Statistical Signal Processing Proceedings; Vol. 2005). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ssp.2005.1628777

Distributed wavelet transform for irregular sensor network grids. / Wagner, Raymond; Choi, Hyeokho; Baraniuk, Richard et al.
2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Book of Abstracts. Institute of Electrical and Electronics Engineers Inc., 2005. p. 1196-1201 1628777 (IEEE Workshop on Statistical Signal Processing Proceedings; Vol. 2005).

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

Wagner, R, Choi, H, Baraniuk, R & Delouille, V 2005, Distributed wavelet transform for irregular sensor network grids. in 2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Book of Abstracts., 1628777, IEEE Workshop on Statistical Signal Processing Proceedings, vol. 2005, Institute of Electrical and Electronics Engineers Inc., pp. 1196-1201, 2005 IEEE/SP 13th Workshop on Statistical Signal Processing, Bordeaux, France, 7/17/05. https://doi.org/10.1109/ssp.2005.1628777

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AB - Wavelet-based distributed data processing holds much promise for sensor networks; however, irregular sensor node placement precludes the direct application of standard wavelet techniques. In this paper, we develop a new distributed wavelet transform based on lifting that takes into account irregular sampling and provides a piecewise-planar multiresolution representation of the sensed data. We develop the transform theory; outline how to implement it in a multi-hop, wireless sensor network; and illustrate with several simulations. The new transform performs on par with conventional wavelet methods in a head-to-head comparison on a regular grid of sensor nodes.

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Distributed wavelet transform for irregular sensor network grids

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