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Proceedings Paper

Energy-quality tradeoffs in sensor tracking: selective activation with noisy measurements
Author(s): Sundeep Pattem; Bhaskar Krishnamachari
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Paper Abstract

Energy-efficient tracking of a target using a sensor network has received significant attention in recent research. Our earlier study on energy-quality tradeoffs in target tracking with binary sensors showed that optimal selective activation of sensor nodes based on prediction of the target's trajectory could achieve orders of magnitude savings in the energy expenditure over naive and random activation, while achieving almost the same tracking quality. In this paper, we consider a more realistic sensor model and extend the analysis of activation strategies to account for the presence of noise in sensor measurements. Our results confirm that the best quality of tracking that can be obtained with selective activation depends on the noise level in sensor measurements and that the optimal radius of activation depends on the noise level and the density of deployment. We also show how duty cycling with selective activation can be used to obtain flexible tradeoffs between the energy expenditure and quality of tracking.

Paper Details

Date Published: 18 September 2003
PDF: 9 pages
Proc. SPIE 5090, Unattended Ground Sensor Technologies and Applications V, (18 September 2003); doi: 10.1117/12.487488
Show Author Affiliations
Sundeep Pattem, 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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