Fuzzy-Assisted Event-Based kNN Query Processing in Sensor Networks

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 812)

Abstract

This paper proposes a novel event-based k-Nearest Neighbor (kNN) query processing framework using fuzzy sets for distributed sensor systems. Our key technique is that linguistic e-kNN event information instead of raw sensory data is used for e-kNN information storage and in-networks kNN query processing, which is very beneficial to energy efficiency. In addition, event confidence based grid storage method and e-kNN query processing algorithm are devised for e-kNN information storage and retrieval respectively. The experimental evaluation based on real data set show promising results when compared with other methods in the literature.

Keywords

k Nearest Neighbors (kNN) Event detection Fuzzy sets Energy efficiency Privacy protection Sensor network 

Notes

Acknowledgements

This work was funded by the Zhejiang Provincial Natural Science Foundation of China (No. LY15F020026, No. LY15F020025), as well as the National Natural Science Foundation of China (No. 61502421).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.College of Computer Science and TechnologyZhejiang University of TechnologyHangzhouChina

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