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EURASIP Journal on Image and Video Processing

EURASIP Journal on Image and Video Processing Cover Image
  • Research Article
  • Open Access

Energy-Efficient Transmission of Wavelet-Based Images in Wireless Sensor Networks

  • Vincent Lecuire1Email author,
  • Cristian Duran-Faundez1 and
  • Nicolas Krommenacker1
EURASIP Journal on Image and Video Processing20072007:047345

https://doi.org/10.1155/2007/47345

©  Vincent Lecuire et al. 2007

Received: 14 August 2006

Accepted: 22 December 2006

Published: 8 January 2007

Abstract

We propose a self-adaptive image transmission scheme driven by energy efficiency considerations in order to be suitable for wireless sensor networks. It is based on wavelet image transform and semireliable transmission to achieve energy conservation. Wavelet image transform provides data decomposition in multiple levels of resolution, so the image can be divided into packets with different priorities. Semireliable transmission enables priority-based packet discarding by intermediate nodes according to their battery's state-of-charge. Such an image transmission approach provides a graceful tradeoff between the reconstructed images quality and the sensor nodes' lifetime. An analytical study in terms of dissipated energy is performed to compare the self-adaptive image transmission scheme to a fully reliable scheme. Since image processing is computationally intensive and operates on a large data set, the cost of the wavelet image transform is considered in the energy consumption analysis. Results show up to 80% reduction in the energy consumption achieved by our proposal compared to a nonenergy-aware one, with the guarantee for the image quality to be lower-bounded.

Keywords

Energy ConsumptionImage QualityEnergy EfficiencySensor NodeWireless Sensor Network

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Authors’ Affiliations

(1)
Centre de Recherche en Automatique de Nancy (CRAN UMR 7039), Nancy-Université, CNRS, Vandoeuvre lès Nancy Cedex, France

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Copyright

© Vincent Lecuire et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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