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22541 Analysis of the impact of data correlation on adaptive sampling in Wireless Sensor Networks
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Masoum, A. and Meratnia, N. and Havinga, P.J.M. (2012) Analysis of the impact of data correlation on adaptive sampling in Wireless Sensor Networks. In: Ninth International Conference on Networked Sensing Systems, INSS 2012, 11-14 Jun 2012, Antwerp, Belgium. pp. 1-2. IEEE. ISBN 978-1-4673-1784-9

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Official URL: http://dx.doi.org/10.1109/INSS.2012.6240565

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Abstract

Wireless Sensor Networks (WSNs) are often densely deployed to monitor a physical phenomenon, whose nature often exhibits temporal correlation in sequential readings. Such a dense deployment results in high correlation of sensing data in the space domain. Since WSNs suffer from sever resource constraints, temporal, spatial and spatio-temporal correlation among sensor data can be exploited to find an optimal sampling strategy, which reduces the number of sampling nodes and/or sampling rates while maintaining high data quality. In this study, we investigate the impact of the data correlation on sampling strategies, by taking both data quality and energy consumption into account.

Item Type:Conference or Workshop Paper (Extended Abstract, Poster)
Research Group:EWI-PS: Pervasive Systems
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Research Project:GENESIS: Green sEnsor NEtworks for Structural monItoring, FREE: True-wireless mesh networks for transport and logistics
ID Code:22541
Status:Published
Deposited On:07 December 2012
Refereed:Yes
International:Yes
More Information:statisticsmetis

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