An Enhanced Anomaly Forecasting in Distributed Wireless Sensor Network Using Fuzzy Model-Reference-Cited by-同舟云学术

An Enhanced Anomaly Forecasting in Distributed Wireless Sensor Network Using Fuzzy Model

Published:2022-08-17 Issue:7 Volume:24 Page:3327-3347
ISSN:1562-2479
Container-title:International Journal of Fuzzy Systems
language:en
Short-container-title:Int. J. Fuzzy Syst.

Author:

Yasir Abdullah R.^ORCID,Mary Posonia A.,Barakkath Nisha Usman

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s40815-022-01349-1.pdf

Reference35 articles.

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3. Sheng, Z., Mahapatra, C., Zhu, C., Leung, V.: Recent advances in industrial wireless sensor networks towards efficient management in IoT. IEEE Access 3, 622–637 (2015)

4. Wang, D., Xu, R., Hu, X., Su, W.: Energy-efficient distributed compressed sensing data aggregation for cluster-based underwater acoustic sensor networks. Int. J. Distrib. Sens. Netw. 2016, 1–14 (2016)

5. Ramotsoela, D., Abu-Mahfouz, A., Hancke, G.: Survey of anomaly detection in industrial wireless sensor networks with critical water system infrastructure as a case study. Sensors 18, 2491 (2018)

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