Energy efficient wireless sensing framework to enhance mobile learning

Ashish Tanwer, Muzahid Hussain, Parminder Singh Reel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.
Original languageEnglish
Title of host publication2010 International Conference on Technology for Education
PublisherIEEE
Pages50-55
Number of pages6
ISBN (Electronic)9781424473618
ISBN (Print)9781424473625
DOIs
Publication statusPublished - 16 Aug 2010
Event2010 International Conference on Technology for Education (T4E) - Mumbai, India
Duration: 1 Jul 20103 Jul 2010

Conference

Conference2010 International Conference on Technology for Education (T4E)
Period1/07/103/07/10

Keywords

  • Energy efficiency
  • Wireless sensor networks
  • Unmanned aerial vehicles
  • Mobile agents
  • Sensor phenomena and characterization
  • Base stations
  • Energy consumption
  • Radio frequency
  • Batteries
  • Sensor systems

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