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14161 An Adaptive and Autonomous Sensor Sampling Frequency Control Scheme for Energy-Efficient Data Acquisition in Wireless Sensor Networks
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Chatterjea, S. and Havinga, P.J.M. (2008) An Adaptive and Autonomous Sensor Sampling Frequency Control Scheme for Energy-Efficient Data Acquisition in Wireless Sensor Networks. In: 4th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), 11-14 Jun 2008, Santorini, Greece. pp. 60-78. Lecture Notes in Computer Science 5067. Springer Verlag. ISSN 0302-9743 ISBN 978-3-540-69169-3

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Official URL: http://dx.doi.org/10.1007/978-3-540-69170-9

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Abstract

Wireless sensor networks are increasingly being used in environmental monitoring applications. Collecting raw data from these networks can lead to excessive energy consumption. This is especially true when the application requires specialized sensors that have very high energy consumption, e.g. hydrological sensors for monitoring marine environments. We describe an adaptive sensor sampling scheme where nodes change their sampling frequencies autonomously based on the variability of the measured parameters. The sampling scheme also meets the user’s sensing coverage requirements by using information provided by the underlying MAC protocol. This allows the scheme to automatically adapt to topology changes. Our results based on real and synthetic data sets, indicate a reduction in sensor sampling by up to 93%, reduction in message transmissions by up to 99% and overall energy savings of up to 87%. We also show that generally more than 90% of the collected readings fall within the user-defined error threshold.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-PS: Pervasive Systems
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Research Project:e-SENSE: Capturing Ambient Intelligence for Mobile Communications through Wireless Sensor Networks, Smart Surroundings, SENSEI: Integrating the PhySical with the Digital World of the Network of the Future
ID Code:14161
Status:Published
Deposited On:10 November 2009
Refereed:Yes
International:Yes
More Information:statisticsmetis

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