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MAC Essentials for Wireless Sensor Networks

Bachir, Abdelmalik, Dohler, Mischa, Watteyne, Thomas, Leung, Kin K·2010·IEEE Communications Surveys & Tutorials

Abstract

The wireless medium being inherently broadcast in nature and hence prone to interferences requires highly optimized medium access control (MAC) protocols. This holds particularly true for wireless sensor networks (WSNs) consisting of a large amount of miniaturized battery-powered wireless networked sensors required to operate for years with no human intervention. There has hence been a growing interest on understanding and optimizing WSN MAC protocols in recent years, where the limited and constrained resources have driven research towards primarily reducing energy consumption of MAC functionalities. In this paper, we provide a comprehensive state-of-the-art study in which we thoroughly expose the prime focus of WSN MAC protocols, design guidelines that inspired these protocols, as well as drawbacks and shortcomings of the existing solutions and how existing and emerging technology will influence future solutions. In contrast to previous surveys that focused on classifying MAC protocols according to the technique being used, we provide a thematic taxonomy in which protocols are classified according to the problems dealt with. We also show that a key element in selecting a suitable solution for a particular situation is mainly driven by the statistical properties of the generated traffic.

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Metadata

Authors
Bachir, A., Dohler, M., Watteyne, T., & Leung, K. K.
Venue
IEEE Communications Surveys & Tutorials
Published
2010
Volume
12
Issue
2
Pages
222-248
ISSN
1553-877X (ISSN-L)
OpenAlex
W2164012210
Cited by
523
References
0
FWCI
73.40
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: MAC Essentials for Wireless Sensor Networks. https://app.cochat.ai/papers/10.1109/surv.2010.020510.00058
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Bachir, A., Dohler, M., Watteyne, T., & Leung, K. K. (2010). MAC Essentials for Wireless Sensor Networks. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/surv.2010.020510.00058

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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.