Distributed Wavelet Transform for Irregular Sensor Network Grids

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.

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Conference paper
Keywords
distributed wavelet transform, irregular grid wavelet analysis, sensor networks
Citation

R. Wagner, H. Choi, R. G. Baraniuk and V. Delouille, "Distributed Wavelet Transform for Irregular Sensor Network Grids," 2005.

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