Data Mining of Wireless Sensor Networks

• Abstract: A wireless sensor network (WSN) consists of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main location. Intelligent sensor networks have numerous applications for distributed information gathering and processing monitoring, supervision of hazardous environments, intrusion detection. The increasing use of sensing units asks for the development of specific data mining algorithms and architectures.
• Papers:
  1. Wireless sensor networks: a survey
  2. Survey: Discovery in Wireless Sensor Networks
  3. Interactive Data Mining
• Resources:
  1. What is Data Mining (Predictive Analytics, Big Data)
  2. A Distributed Approach for Prediction in Sensor Networks

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This page is maintained by Shawki Areibi, sareibi@uoguelph.ca
Last modified Feb. 2013