ARSL-V: A risk-aware relay selection scheme using reinforcement learning in VANETs
Author:
Funder
Natural Science Foundation of Zhejiang Province
Zhejiang Electronic Information Products Inspection and Research Institut
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12083-023-01589-4.pdf
Reference30 articles.
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3. Cui LJ, Wei L, Zhang H, Yan X, Liu L (2020) Edge computing in vanets-an efficient and privacy-preserving cooperative downloading scheme. IEEE J Sel Areas Commun 38(6):1191–1204
4. Yuhan S, Xiaozhen L, Zhao Y, Huang L, Xiaojiang D (2019) Cooperative communications with relay selection based on deep reinforcement learning in wireless sensor networks. IEEE Sens J 19(20):9561–9569
5. Rashid SA, Audah L, Hamdi MM, Alani S (2020) Prediction based efficient multi-hop clustering approach with adaptive relay node selection for vanet. J Commun 15(4):332–344
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