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Energy-aware wireless microsensor networks

Raghunathan, V., Schurgers, C., Sung Park, Srivastava, M.B.·2002·IEEE Signal Processing Magazine

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.

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Metadata

Authors
Raghunathan, V., Schurgers, C., Park, S., & Srivastava, M. B.
Venue
IEEE Signal Processing Magazine
Published
2002-03
Volume
19
Issue
2
Pages
40-50
ISSN
1053-5888 (ISSN-L)
OpenAlex
W2136982937
Cited by
1,706
References
0
FWCI
89.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Energy-aware wireless microsensor networks. https://app.cochat.ai/papers/10.1109/79.985679
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Raghunathan, V., Schurgers, C., Park, S., & Srivastava, M. B. (2002). Energy-aware wireless microsensor networks. IEEE Signal Processing Magazine. https://doi.org/10.1109/79.985679

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.