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16502 Improving temporal coverage of an energy-efficient data extraction algorithm for environmental monitoring using wireless sensor networks
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Chatterjea, S. and Havinga, P.J.M. (2009) Improving temporal coverage of an energy-efficient data extraction algorithm for environmental monitoring using wireless sensor networks. Sensors, 9 (6). pp. 4941-4954. ISSN 1424-8220 *** ISI Impact 2,033 ***

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Official URL: http://dx.doi.org/10.3390/s90604941

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Abstract

Collecting raw data from a wireless sensor network for environmental monitoring applications can be a difficult task due to the high energy consumption involved. This is especially difficult when the application requires specialized sensors that have very high energy consumption, e.g. hydrological sensors for monitoring marine environments. This paper introduces a technique for reducing energy consumption by minimizing sensor sampling operations. In addition, we illustrate how a randomized algorithm can be used to improve temporal coverage such that the time between the occurrence of an event and its detection can be minimized. We evaluate our approach using real data collected from a sensor network deployment on the Great Barrier Reef.

Item Type:Article
Research Group:EWI-PS: Pervasive Systems
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Research Project:SENSEI: Integrating the PhySical with the Digital World of the Network of the Future
Uncontrolled Keywords: wireless sensor networks, environmental monitoring, adaptive sampling
ID Code:16502
Status:Published
Deposited On:01 December 2009
Refereed:Yes
International:Yes
ISI Impact Factor:2,033
More Information:statisticsmetis

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