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Energy-Aware Wireless Microsensor Networks (2002)
| Venue: | IEEE Signal Processing Magazine |
| Citations: | 285 - 1 self |
BibTeX
@INPROCEEDINGS{Raghunathan02energy-awarewireless,
author = {Vijay Raghunathan and Curt Schurgers and Sung Park and Mani Srivastava and Barclay Shaw},
title = {Energy-Aware Wireless Microsensor Networks},
booktitle = {IEEE Signal Processing Magazine},
year = {2002},
pages = {40--50}
}
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Abstract
This article describes architectural and algorithmic approaches that designers can use to enhance the energy awareness of wireless sensor networks. The article starts off with an analysis of the power consumption characteristics of typical sensor node architectures and identifies the various factors that affect system lifetime. We then present a suite of techniques that perform aggressive energy optimization while targeting all stages of sensor network design, from individual nodes to the entire network. Maximizing network lifetime requires the use of a well-structured design methodology, which enables energy -aware design and operation of all aspects of the sensor network, from the underlying hardware platform to the application software and network protocols. Adopting such a holistic approach ensures that energy awareness is incorporated not only into individual sensor nodes but also into groups of communicating nodes and the entire sensor network. By following an energy-aware design methodology based on techniques such as in this article, designers can enhance network lifetime by orders of magnitude.
Keyphrases
energy-aware wireless microsensor network energy awareness network lifetime holistic approach well-structured design methodology system lifetime sensor network design energy-aware design methodology sensor network typical sensor node architecture algorithmic approach energy aware design power consumption characteristic application software network protocol aggressive energy optimization entire network wireless sensor network individual node various factor entire sensor network hardware platform individual sensor node
