A Literature Review on Outlier Detection in Wireless Sensor Networks
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Engineering and Technology Publishing
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https://www.jait.us/uploadfile/2024/JAIT-V15N3-372.pdf
Reference55 articles.
1. [1] M. A. Samara, I. Bennis, A. Abouaissa, and P. Lorenz, "A survey of outlier detection techniques in IoT: Review and classification," J. Sens. Actuator Netw., vol. 11, no. 1, 4, Jan. 2022. doi: 10.3390/jsan11010004
2. [2] M. Rassam, A. Zainal, and M. Maarof, "Advancements of data anomaly detection research in wireless sensor networks: A survey and open issues," Sensors, vol. 13, no. 8, pp. 10087-10122, Aug. 2013. doi: 10.3390/s130810087
3. [3] Y. Zhang, N. Meratnia, and P. Havinga, "Outlier detection techniques for wireless sensor networks: A survey," IEEE Commun. Surv. Tutor., vol. 12, no. 2, pp. 159-170, 2010. doi: 10.1109/SURV.2010.021510.00088
4. [4] P. Jain, S. Jain, O. R. Zaiane, and A. Srivastava, "Anomaly detection in resource constrained environments with streaming data," IEEE Trans. Emerg. Top. Comput. Intell., vol. 6, no. 3, pp. 649-659, Jun. 2022. doi: 10.1109/TETCI.2021.3070660
5. [5] A. Ayadi, O. Ghorbel, M. S. BenSalah, and M. Abid, "Kernelized technique for outliers detection to monitoring water pipeline based on WSNs," Comput. Netw., vol. 150, pp. 179-189, Feb. 2019. doi: 10.1016/j.comnet.2019.01.004
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