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Energy-aware wireless microsensor networks
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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Cited by
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Beeby, S. P., Tudor, M. J., & White, N. M. (2006) · Measurement Science and Technology · doi:10.1088/0957-0233/17/12/r01 · Cited by 3,008
Energy Harvesting Wireless Communications: A Review of Recent Advances
Ulukus, S., Yener, A., Erkip, E., Simeone, O., Zorzi, M., Grover, P., & Huang, K. (2015) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2015.2391531 · Cited by 805
Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks
Wang, J., Jiang, C., Zhang, H., Ren, Y., Chen, K.-C., & Hanzo, L. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2965856 · Cited by 486
Wearable and flexible sensors for user-interactive health-monitoring devices
Ha, M., Lim, S., & Ko, H. (2018) · Journal of Materials Chemistry B · doi:10.1039/c8tb01063c · Cited by 352
Zhu, D., & Beeby, S. (2011) · Energy Harvesting Systems · doi:10.1007/978-1-4419-7566-9_1 · Cited by 62
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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- 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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