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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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA495267

Entities

People

  • Hyeokho Choi
  • Raymond Wagner
  • Richard G. Baraniuk
  • Véronique Delouille

Organizations

  • Rice University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Boundaries
  • Coefficients
  • Computations
  • Computer Graphics
  • Detectors
  • Energy Consumption
  • Grids
  • Integrals
  • Load Monitoring
  • Networks
  • Sensor Networks
  • Signal Processing
  • Triangulation
  • Two Dimensional
  • Wavelet Transforms

Readers

  • Computer Networking
  • Distributed Systems and Data Platform Development
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)