TY - JOUR
T1 - A Novel Sensor Selection Scheme for Energy Efficient Environment Monitoring of Wireless Sensor Networks
AU - Alwadi, Moh'D
AU - CHETTY, Girija
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Wireless Communications
U2 - 10.18178/jacn.2015.3.4.193
DO - 10.18178/jacn.2015.3.4.193
M3 - Article
SN - 2234-3660
VL - 3
SP - 335
EP - 338
JO - International Journal on Data Mining and Intelligent Information Technology Applications
JF - International Journal on Data Mining and Intelligent Information Technology Applications
IS - 4
ER -