Machine learning models and techniques for VANET based traffic management: Implementation issues and challenges
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s12083-020-00993-4.pdf
Reference137 articles.
1. Banerjee S, Odelu V, Das AK, Chattopadhyay S, Kumar N, Park Y, Tanwar S (2018) Design of an anonymity-preserving group formation based authentication protocol in global mobility networks. IEEE Access 6:20673–20693. https://doi.org/10.1109/ACCESS.2018.2827027
2. Muhammad M, Safdar GA (2018) Survey on existing authentication issues for cellular-assisted v2x communication. Vehicular Communications 12:50–65
3. Bhatia J, Modi Y, Tanwar S, Bhavsar M Software defined vehicular networks: A comprehensive review. Int J Commun Syst 32(12):e4005
4. Duan X, Liu Y, Wang X (2017) Sdn enabled 5g-vanet: Adaptive vehicle clustering and beamformed transmission for aggregated traffic. IEEE Commun Mag 55(7):120–127
5. Bhatia J, Govani R, Bhavsar M (2018) Software defined networking: From theory to practice. In: 2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC), pp 789–794, IEEE
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