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Proceedings Paper

Analysis of power management and system latency in wireless sensor networks
Author(s): Matthew T. Oswald; Judd A. Rohwer; Michael A. Forman
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Paper Abstract

Successful power management in a wireless sensor network requires optimization of the protocols which affect energy-consumption on each node and the aggregate effects across the larger network. System optimization for a given deployment scenario requires an analysis and trade off of desired node and network features with their associated costs. The sleep protocol for an energy-efficient wireless sensor network for event detection, target classification, and target tracking developed at Sandia National Laboratories is presented. The dynamic source routing (DSR) algorithm is chosen to reduce network maintenance overhead, while providing a self-configuring and self-healing network architecture. A method for determining the optimal sleep time is developed and presented, providing reference data which spans several orders of magnitude. Message timing diagrams show, that a node in a five-node cluster, employing an optimal cyclic single-radio sleep protocol, consumes 3% more energy and incurs a 16-s increase latency than nodes employing the more complex dual-radio STEM protocol.

Paper Details

Date Published: 10 August 2004
PDF: 11 pages
Proc. SPIE 5440, Digital Wireless Communications VI, (10 August 2004); doi: 10.1117/12.541648
Show Author Affiliations
Matthew T. Oswald, Sandia National Labs. (United States)
Judd A. Rohwer, Sandia National Labs. (United States)
Michael A. Forman, Sandia National Labs. (United States)

Published in SPIE Proceedings Vol. 5440:
Digital Wireless Communications VI
Raghuveer M. Rao; Sohail A. Dianat; Michael D. Zoltowski, Editor(s)

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