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.
