Fuzzy Sets Assisted Forthcoming Event Detection from Distributed Sensory Data

LI Yinglong; MO Shangfeng; LI Yanyan; ZHOU Zhiqiang; LYU Mingqi

doi:10.1049/cje.2017.08.007

Volume 26 Issue 6

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LI Yinglong, MO Shangfeng, LI Yanyan, et al., “Fuzzy Sets Assisted Forthcoming Event Detection from Distributed Sensory Data,” Chinese Journal of Electronics, vol. 26, no. 6, pp. 1308-1314, 2017, doi: 10.1049/cje.2017.08.007

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LI Yinglong, MO Shangfeng, LI Yanyan, et al., “Fuzzy Sets Assisted Forthcoming Event Detection from Distributed Sensory Data,” Chinese Journal of Electronics, vol. 26, no. 6, pp. 1308-1314, 2017, doi: 10.1049/cje.2017.08.007

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Fuzzy Sets Assisted Forthcoming Event Detection from Distributed Sensory Data

doi: 10.1049/cje.2017.08.007

1.
College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China;
2.
Hunan University of Science and Technology, Xiangtan 411201, China

Funds: This work is supported by the Zhejiang Provincial Natural Science Foundation of China (No.LY15F020026, No.LY15F020025) and the National Natural Science Foundation of China (No.61502421).

Received Date: 2016-08-16
Rev Recd Date: 2017-02-03
Publish Date: 2017-11-10

Abstract

Abstract

Detecting the forthcoming events timely is a primary way to minimize their (events) damages in distributed sensor systems. We propose a novel event detection framework for sensor networks with multi microenvironments using fuzzy sets. Fuzzy sets assisted event information description and fusion approaches are proposed, as well as two distributed Node-level forthcoming event detection (NFED) algorithms are devised respectively. Experimental results on both real-life and synthetic data sets demonstrate that our NFED-by leveraging Spatial correlations (NFED-bySC) algorithm only requires a small amount of data transmission with accuracy guarantee.
- Event detection,
- Fuzzy sets,
- Energy efficiency,
- Accuracy,
- Sensor network

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References(19)

References

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