D-FLER: a distributed fuzzy logic engine for rule-based wireless sensor networks

Authors:
Mihai Marin-Perianu;Paul Havinga
Affiliations:
University of Twente, Enschede, The Netherlands;University of Twente, Enschede, The Netherlands
Venue:
UCS'07 Proceedings of the 4th international conference on Ubiquitous computing systems
Year:
2007

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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.