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D-FLER – A Distributed Fuzzy Logic Engine for Rule-Based Wireless Sensor Networks

  • Mihai Marin-Perianu
  • Paul Havinga
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4836)

Abstract

We propose D-FLER, a distributed, general-purpose reasoning engine for WSN. D-FLER uses fuzzy logic for fusing individual and neighborhood observations, in order to produce a more accurate and reliable result. Thorough simulation, we evaluate D-FLER in a fire-detection scenario, using both fire and non-fire input data. D-FLER achieves better detection times, while reducing the false alarm rate. In addition, we implement D-FLER on real sensor nodes and analyze the memory overhead, the numerical accuracy and the execution time.

Keywords

Sensor Node Membership Function Fuzzy Logic Wireless Sensor Network False Alarm Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Mihai Marin-Perianu
    • 1
  • Paul Havinga
    • 1
  1. 1.University of Twente, Enschede, The Netherlands 

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