An outlier detection method based on the hidden Markov model and copula for wireless sensor networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11276-022-03131-5.pdf
Reference41 articles.
1. Zhang, Y., Meratnia, N., & Havinga, P. J. M. (2010). Outlier detection techniques for wireless sensor networks: A survey. IEEE Communications Surveys and Tutorials, 12(2), 159–170.
2. Ayadi, A., et al. (2017). Outlier detection approaches for wireless sensor networks: A survey. Computer Networks, 129, 319–333.
3. Rajasegarar, S., Leckie, C., & Palaniswami, M. (2008). Anomaly detection in wireless sensor networks. IEEE Wireless Communications, 15(4), 34–40.
4. Hawkins, D. M. (1980). Identification of outliers (Vol. 11). London: Chapman and Hall.
5. Liu, X., et al. (2020). Reinforcement learning-based multislot double-threshold spectrum sensing with Bayesian fusion for industrial big spectrum data. IEEE Transactions on Industrial Informatics, 17(5), 3391–3400.
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