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DPS-MAC: An Asynchronous MAC Protocol for Wireless Sensor Networks

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High Performance Computing – HiPC 2007 (HiPC 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4873))

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Abstract

Asynchronous power efficient communication protocols are crucial to the success of wireless sensor networks (WSNs) as a distributed computing paradigm. This paper presents an improved asynchronous duty-cycled MAC protocol for WSN. It adopts a novel dual preamble sampling (DPS) approach by combining low power listening (LPL) with short strobed preambles to significantly reduce idle listening in existing protocols. In our ns-2 based experiments, the performance of the proposed solution is compared with B-MAC and X-MAC, two most recent and popular asynchronous MAC protocols for WSNs. Depending on the traffic load and preamble length, the proposed DPS-MAC improves energy consumption significantly compared to X-MAC without degrading other network performances such as delivery ratio and latency. For example for the traffic rate of 0.1 packets/s and preamble length of 0.1s, the average improvement in energy consumption compared to X-MAC is about 154%.

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Authors and Affiliations

  1. University of Illinois at Chicago, USA

    Heping Wang, Xiaobo Zhang & Ashfaq Khokhar

  2. University of Lille – INRIA, France

    Farid Naït-Abdesselam

Authors
  1. Heping Wang
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  2. Xiaobo Zhang
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  3. Farid Naït-Abdesselam
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  4. Ashfaq Khokhar
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Editor information

Srinivas Aluru Manish Parashar Ramamurthy Badrinath Viktor K. Prasanna

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© 2007 Springer-Verlag Berlin Heidelberg

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Wang, H., Zhang, X., Naït-Abdesselam, F., Khokhar, A. (2007). DPS-MAC: An Asynchronous MAC Protocol for Wireless Sensor Networks. In: Aluru, S., Parashar, M., Badrinath, R., Prasanna, V.K. (eds) High Performance Computing – HiPC 2007. HiPC 2007. Lecture Notes in Computer Science, vol 4873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77220-0_37

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  • DOI: https://doi.org/10.1007/978-3-540-77220-0_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77219-4

  • Online ISBN: 978-3-540-77220-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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