Poster: using local and global knowledge in wireless sensor networks

  • Authors:
  • Christopher Gwilliams;Alun D. Preece;Alex R. Hardisty

  • Affiliations:
  • Cardiff University, Cardiff, United Kingdom;Cardiff University, Cardiff, United Kingdom;Cardiff University, Cardiff, United Kingdom

  • Venue:
  • Proceedings of the 10th international conference on Mobile systems, applications, and services
  • Year:
  • 2012

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Abstract

Wireless Sensor Networks (WSNs) produce large quantities of raw data from multiple sources, such as cameras, temperature or humidity sensors. We propose a network that uses the knowledge of domain experts that use the network, as well as previously sensed data, to classify incoming sensed data in near real-time. Using a field centre in Malaysia as a testbed, we are currently implementing a prototype network to classify images of animals that trigger wildlife cameras. Initial experiments to test the individual components of the network have yielded positive results and a prototype is planned for deployment in July of 2012.