Energy efficient wireless sensing framework to enhance mobile learning

Abstract

Wireless sensor network (WSN) technology has got the various potential applications for mobile learning. It facilitates the proper monitoring of environmental conditions which can be combined with the convectional mobile learning devices to enhance and extend the features of mobile learning. However sensor nodes have energy constraints for mobile learning applications. In this paper, a novel approach to implement energy efficient wireless sensing framework for mobile learning is presented using an Unmanned Aerial Vehicle as a Mobile Agent. This approach has unique features of wireless power delivery and data collection options from the required sensor nodes on the mobile learning device. UAV provides unrestricted accessibility and wirelessly triggering the sensor node, thus reducing energy consumption. It carries Beagle Board payload for on the spot calculations of data collected. The onboard video camera provides captures video of the area of interest and helps in enhancing the learning experience. This paper is intended to give sufficient details of the implementation of our approach.