Distributed wavelet transform for irregular sensor network grids

Raymond Wagner, Hyeokho Choi, Richard Baraniuk, Véronique Delouille

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

37 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 languageEnglish (US)
Title of host publication2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Book of Abstracts
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1196-1201
Number of pages6
ISBN (Print)0780394046, 9780780394049
DOIs
StatePublished - 2005
Event2005 IEEE/SP 13th Workshop on Statistical Signal Processing - Bordeaux, France
Duration: Jul 17 2005Jul 20 2005

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings
Volume2005

Other

Other2005 IEEE/SP 13th Workshop on Statistical Signal Processing
CountryFrance
CityBordeaux
Period7/17/057/20/05

ASJC Scopus subject areas

  • Signal Processing

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