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Exploiting the tradeoff between fast wakeup and long standby in event-monitoring WSN

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Chung-Ta KingAuthors Info & Claims

SenSys '09: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems

Pages 403 - 404

https://doi.org/10.1145/1644038.1644123

Published: 04 November 2009 Publication History

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Abstract

In an event-monitoring wireless sensor network (WSN), the sensors must be waked up fast to engage in active and high-rate sensing when events of interest occur. However, to prolong the lifetime of the network, the sensors should be put into the standby mode as long as possible. There is thus a tradeoff between the standby duration and the wakeup latency. Though the tradeoff is important, what is more important is a flexible transmission schedule that allows the tradeoff to be exploited. In this research, we use debris flow monitoring as a case study to illustrate how the tradeoff between long standby and fast wakeup can be exploited systematically with a flexible transmission schedule.

Reference

[1]

H.-C. Lee, C.-J. Liu, J. Yang, J.-T. Huang, Y.-M. Fang, B.-J. Lee, and C.-T. King. Using mobile wireless sensors for in-situ tracking of debris flows. In SenSys '08: Proceedings of the 6th ACM conference on Embedded network sensor systems, pages 407--408, New York, NY, USA, 2008. ACM.

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Exploiting the tradeoff between fast wakeup and long standby in event-monitoring WSN

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Published In

SenSys '09: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems

November 2009

438 pages

ISBN:9781605585192

DOI:10.1145/1644038

General Chair:
David Culler
University of California, Berkeley
,
Program Chairs:
Jie Liu
Microsoft Research
,
Matt Welsh
Harvard University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 November 2009

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SenSys09

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SenSys09: The 7th ACM Conference on Embedded Network Sensor Systems

November 4 - 6, 2009

California, Berkeley

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Overall Acceptance Rate 174 of 867 submissions, 20%

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Recommendations

Reprogramming over Low Power Link Layer in Wireless Sensor Networks

Impact of the energy-based and location-based LEACH secondary cluster aggregation on WSN lifetime

Delay-efficient data aggregation scheduling in duty-cycled wireless sensor networks