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Communication in extreme wireless sensor networks

Published: 11 November 2013 Publication History

Abstract

In spite of using unreliable resource-constrained devices, sensor networks can nowadays deliver 99.9% of their data with duty cycles well below 1%. This remarkable performance is, however, dependent on one or more of the following assumptions: low traffic rates, medium size densities and static nodes.

References

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S. Boyd and A. Ghosh. Gossip algorithms: Design, analysis and applications. In INFOCOM '05, pages 1653--1664, 2005.
[2]
M. Buettner, G. Yee, and E. Anderson. X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks. In SenSys '06, pages 307--320, 2006.
[3]
A. El-Hoiydi. WiseMAC: an ultra low power MAC protocol for the downlink of infrastructure wireless sensor networks. In ISCC '04, pages 244--251, 2004.
[4]
F. Ferrari, M. Zimmerling, L. Mottola, and L. Thiele. The low-power wireless bus. In SenSys '12, pages 1--14, 2012.
[5]
A. D. Sarwate and A. G. Dimakis. The Impact of Mobility on Gossip Algorithms. IEEE Transactions on Information Theory, 58(3):1731--1742, Mar. 2012.
[6]
Y. Sun and O. Gurewitz. RI-MAC: a receiver-initiated asynchronous duty cycle MAC protocol for dynamic traffic loads in wireless sensor networks. In SenSys '08, pages 1--14, 2008.

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Published In

cover image ACM Conferences
SenSys '13: Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
November 2013
443 pages
ISBN:9781450320276
DOI:10.1145/2517351
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 November 2013

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SenSys '13 Paper Acceptance Rate 21 of 123 submissions, 17%;
Overall Acceptance Rate 198 of 990 submissions, 20%

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