An Improved Multi-objective Optimization Framework with a Hybrid Model for Vehicular Adhoc Network Routing Services
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11277-024-11245-6.pdf
Reference44 articles.
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2. Wu, J., Fang, M., Li, H., & Li, X. (2020). RSU-assisted traffic-aware routing based on reinforcement learning for urban vanets. IEEE Access, 8, 5733–5748. https://doi.org/10.1109/ACCESS.2020.2963850
3. Hossain, M. A., Noor, R. M., Yau, K.-L.A., Azzuhri, S. R., Z’Abar, M. R., Ahmedy, I., & Jabbarpour, M. R. (2021). Multi-objective harris hawks optimization algorithm based 2-hop routing algorithm for CR-VANET. IEEE Access, 9, 58230–58242. https://doi.org/10.1109/ACCESS.2021.3072922
4. Haghighi, M. S., & Aziminejad, Z. (2020). Highly anonymous mobility-tolerant location-based onion routing for VANETs. IEEE Internet of Things Journal, 7(4), 2582–2590. https://doi.org/10.1109/JIOT.2019.2948315
5. Kandali, K., Bennis, L., & Bennis, H. (2021). A new hybrid routing protocol using a modified K-means clustering algorithm and continuous hopfield network for VANET. IEEE Access, 9, 47169–47183. https://doi.org/10.1109/ACCESS.2021.3068074
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