Medium Access Control with Coordinated Adaptive Sleeping for Wireless Sensor Networks

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Medium Access Control with Coordinated Adaptive Sleeping for Wireless Sensor Networks (2004)

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by Wei Ye , John Heidemann , Deborah Estrin

Venue:	IEEE/ACM Transactions on Networking
Citations:	698 - 15 self

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@ARTICLE{Ye04mediumaccess,
    author = {Wei Ye and John Heidemann and Deborah Estrin},
    title = {Medium Access Control with Coordinated Adaptive Sleeping for Wireless Sensor Networks},
    journal = {IEEE/ACM Transactions on Networking},
    year = {2004},
    volume = {12},
    pages = {493--506}
}

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Abstract

This paper proposes S-MAC, a medium access control (MAC) protocol designed for wireless sensor networks. Wireless sensor networks use battery-operated computing and sensing devices. A network of these devices will collaborate for a common application such as environmental monitoring. We expect sensor networks to be deployed in an ad hoc fashion, with nodes remaining largely inactive for long time, but becoming suddenly active when something is detected. These characteristics of sensor networks and applications motivate a MAC that is different from traditional wireless MACs such as IEEE 802.11 in several ways: energy conservation and self-configuration are primary goals, while per-node fairness and latency are less important. S-MAC uses a few novel techniques to reduce energy consumption and support self-configuration. It enables low-duty-cycle operation in a multihop network. Nodes form virtual clusters based on common sleep schedules to reduce control overhead and enable traffic-adaptive wake-up. S-MAC uses in-channel signaling to avoid overhearing unnecessary traffic. Finally, S-MAC applies message passing to reduce contention latency for applications that require in-network data processing. The paper presents measurement results of S-MAC performance on a sample sensor node, the UC Berkeley Mote, and reveals fundamental tradeoffs on energy, latency and throughput. Results show that S-MAC obtains significant energy savings compared with an 802.11-like MAC without sleeping.

Keyphrases

wireless sensor network medium access control coordinated adaptive sleeping sensor network energy conservation uc berkeley mote s-mac performance in-network data processing several way common sleep schedule control overhead virtual cluster traditional wireless mac environmental monitoring significant energy saving support self-configuration enable traffic-adaptive wake-up ad hoc fashion contention latency unnecessary traffic 11-like mac multihop network primary goal low-duty-cycle operation battery-operated computing per-node fairness novel technique energy consumption reveals fundamental tradeoff common application long time s-mac us measurement result sample sensor node

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