A SURVEY ON MACHINE LEARNING IN WIRELESS SENSOR NETWORKS

The sensors in Wireless Sensor networks gather data about the objects they are used to sense . However these sensors are limited in their performance by constraints of energy and bandwidth. Machine Learning techniques can help them in overcoming such constraints. This survey paper surveys machine learning techniques which have been used to improve the working efficiency of such networks especially with respect to the above two constraints. The emphasis is on Applications and the paper also discusses emerging directions for further research work in this area.