SB-Spectral Clustering Algorithm for Clustering and Validating Sensor
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-5859-7_8
Reference7 articles.
1. Kung, H.T., Vlah, D.: Validating sensors in the field via spectral clustering based on their measurement data. In: Proceedings of the IEEE Military Communications Conference (MILCOM), pp. 1–10 (2009)
2. Kung, H.T., Vlah, D.: Sign-based spectral clustering. In: Proceedings of the 25th Biennial Symposium on Communications (BSC), pp. 32–39 (2010)
3. Nasser, A.M.T., Pawar, V.P.: Machine learning approach for sensors validation and clustering. In: Proceedings of the 8th IEEE International Conference on Emerging Research in Electronics Computer Science and Technology (ICERECT), pp. 370–375 (2015)
4. Almajidi, A.M., Pawar, V.P.: A new system model for sensor node validation by using OPNET. Wirel. Pers. Commun 108(4), 2389–2401 (2019). https://doi.org/10.1007/s11277-019-06527-3
5. Almajidi, A.M., Pawar, V.P.: ABC-based algorithm for clustering and validating WSNs. In: International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), pp. 1–9 (2019)
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