Deep Reinforcement Learning Based Robust Communication for Internet of Vehicles
Author:
Publisher
Allerton Press
Subject
Signal Processing,Control and Systems Engineering,Software
Link
https://link.springer.com/content/pdf/10.3103/S014641162304003X.pdf
Reference11 articles.
1. Gasmi, R. and Aliouat, M., Vehicular ad hoc networks versus Internet of vehicles-A comparative view, 2019 Int. Conf. on Networking and Advanced Systems (ICNAS), Annaba, Algeria, 2019, IEEE, 2019, pp. 1–6. https://doi.org/10.1109/icnas.2019.8807870
2. Gasmi, R., Aliouat, M., and Seba, H., A stable link based zone routing protocol (sl-zrp) for internet of vehicles environment, Wireless Personal Commun., 2020, vol. 112, pp. 1045–1060. https://doi.org/10.1007/s11277-020-07090-y
3. Sharif, A., Li, J., Saleem, M., Manogran, G., Kadry, S., Basit, A., and Khan, M.A., A dynamic clustering technique based on deep reinforcement learning for Internet of vehicles, J. Intell. Manuf., 2020, vol. 32, pp. 757–768. https://doi.org/10.1007/s10845-020-01722-7
4. Padakandla, S., A survey of reinforcement learning algorithms for dynamically varying environments, ACM Comput. Surv., 2021, vol. 54, no. 6, pp. 1–25. https://doi.org/10.1145/3459991
5. Gasmi, R. and Aliouat, M., A weight based clustering algorithm for Internet of vehicles, Autom. Control Comput. Sci., 2020, vol. 54, pp. 493–500. https://doi.org/10.3103/S0146411620060036
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