Mohammad Alwadi and Girija Chetty, The University of Canberra, Australia

In this paper, we propose a novel energy efficient environment monitoring scheme for wireless sensor networks, based on data mining formulation. The proposed adapting routing scheme for sensors for achieving energy efficiency. The experimental validation of the proposed approach using publicly available Intel Berkeley lab Wireless Sensor Network dataset shows that it is possible to achieve energy efficient environment monitoring for wireless sensor networks, with a trade-off between accuracy and life time extension factor of sensors, using the proposed approach.

Wireless sensor Networks, Physical environment Monitoring , machine learning, data mining, feature selection, adaptive routing.