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Proceedings Paper

Applications of localized image processing techniques in wireless sensor networks
Author(s): Divya Devaguptapu; Bhaskar Krishnamachari
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Paper Abstract

We describe the application of image processing techniques for data refinement in sensor networks, by mapping network nodes to pixels in an image. Due to their localized, distributed nature, these techniques are inherently scalable and therefore desirable for use in large sensor networks. We examine two specific problems: cleaning of uncorrelated sensor noise, and the decentralized detection of edges (such as the perimeter of a chemical leak). Our simulation results show that the performance of these processing techniques depends critically upon both sensor density and radio range.

Paper Details

Date Published: 18 September 2003
PDF: 10 pages
Proc. SPIE 5090, Unattended Ground Sensor Technologies and Applications V, (18 September 2003); doi: 10.1117/12.487490
Show Author Affiliations
Divya Devaguptapu, Univ. of Southern California (United States)
Bhaskar Krishnamachari, Univ. of Southern California (United States)

Published in SPIE Proceedings Vol. 5090:
Unattended Ground Sensor Technologies and Applications V
Edward M. Carapezza, Editor(s)

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