A Model-Based Reinforcement Learning Protocol for Routing in Vehicular Ad hoc Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-09166-9.pdf
Reference39 articles.
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2. Nazib, R. A., & Moh, S. (2021). Reinforcement learning-based routing protocols for vehicular Ad Hoc networks: A comparative survey. IEEE Access, 9, 27552–27587. https://doi.org/10.1109/ACCESS.2021.3058388
3. Srivastava, A., Prakash, A., & Tripathi, R. (2020). Location based routing protocols in VANET: Issues and existing solutions. Vehicular Communications, 23, 100231. https://doi.org/10.1016/j.vehcom.2020.100231
4. Awang, A., Husain, K., Kamel, N., & Aïssa, S. (2017). Routing in vehicular Ad-hoc networks: A survey on single- and cross-layer design techniques, and perspectives. IEEE Access, 5, 9497–9517. https://doi.org/10.1109/ACCESS.2017.2692240
5. Gao, H., Liu, C., Li, Y., & Yang, X. (2021). V2VR: Reliable hybrid-network-oriented V2V data transmission and routing considering RSUs and connectivity probability. IEEE Transactions on Intelligent Transportation Systems, 22(6), 3533–3546. https://doi.org/10.1109/TITS.2020.2983835
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