Optimizing Environment-aware VANET Clustering using Machine Learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Neuroscience,Computer Science Applications,Software,Automotive Engineering,Applied Mathematics,Control and Systems Engineering,Aerospace Engineering,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13177-023-00357-1.pdf
Reference52 articles.
1. Noor-A-Rahim, Md. et al.: 6G for vehicle-to-everything (V2X) communications: Enabling technologies, challenges, and opportunities. Proceedings of the IEEE, 110 (2022)
2. El Zorkany, M., Yasser, A., Galal, A.I.: Vehicle to vehicle V2V communication: scope, importance, challenges, research directions and future. The Open Transp. J. 11, (2020)
3. Hamdi, M., Audah, L., Rashid, S.: Data dissemination in VANETs using clustering and probabilistic forwarding based on adaptive jumping multi-objective firefly optimization. IEEE Access, 10 (2022)
4. Shah, A.S., Karabulut, M.A., Ilhan, H., Tureli, U.: Performance optimization of cluster-based MAC protocol for VANETs. IEEE Access, 8 (2020)
5. Bangui, H., Ge, M., Buhnova, B.: A hybrid data-driven model for intrusion detection in VANET. Procedia Comput Sci. 184 (2021)
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