A Novel Sensor Selection Scheme for Energy Efficient Environment Monitoring of Wireless Sensor Networks - Volume 3 Number 4 (Dec. 2015) - JACN
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General Information
    • ISSN: 1793-8244
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET),  Electronic Journals Library, Ulrich's Periodicals Directory, EBSCO, ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Editor-in-chief
Dr. Ka Wai Gary Wong
Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong.
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
JACN 2015 Vol.3(4): 335-338 ISSN: 1793-8244
DOI: 10.18178/JACN.2015.3.4.193

A Novel Sensor Selection Scheme for Energy Efficient Environment Monitoring of Wireless Sensor Networks

Mohammad A. Alwadi and Girija Chetty
Abstract—In this paper, we propose a novel energy efficient environment monitoring scheme for wireless sensor networks, based on data mining formulation. The experimental validation of the proposed adaptive routing scheme for sensors for achieving energy efficiency. Using publicly available Intel Berkeley lab WSN dataset shows that it is possible to achieve energy efficient environment monitoring for wireless sensor networks, with a trade-off between accuracy and lifetime extension factor of sensors, using the proposed approach.

Index Terms—Adaptive routing, data mining, feature selection, machine learning.

The authors are with University of Canberra, Australia (e-mail: u3019769@uni.canberra.edu.au).

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Cite:Mohammad A. Alwadi and Girija Chetty, "A Novel Sensor Selection Scheme for Energy Efficient Environment Monitoring of Wireless Sensor Networks," Journal of Advances in Computer Networks vol. 3, no. 3, pp. 335-338, 2015.

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