Learning-Based Scheme for Efficient Content Caching in Vehicular Networks-Reference-Cited by-同舟云学术

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Learning-Based Scheme for Efficient Content Caching in Vehicular Networks

Published:2023 Issue: Volume: Page:613-624
ISSN:2190-3018
Container-title:Intelligent Data Engineering and Analytics
language:
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Author:

Vemireddy Satish,Virinchi Sai,Vineeth Kumar R,Kumar Nihanth

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-7524-0_54

Reference12 articles.

1. Guo, B., Zhang, X., Sheng, Q., Yang, H.: Dueling deep-Q-network based delay-aware cache update policy for mobile users in fog radio access networks. IEEE Access. 1–1. https://doi.org/10.1109/ACCESS.2020.2964258 (2020)

2. Yao, L., Chen, A., Deng, J., Wang, J., Wu, G.: A cooperative caching scheme based on mobility prediction in vehicular content centric networks. IEEE Trans. Veh. Technol. 67(6), 5435–5444 (2018). https://doi.org/10.1109/TVT.2017.2784562

3. Narendra, K., Thathachar, M.A.L.: Learning automata-a survey. IEEE Trans. Syst. Man Cybern. SMC-4 (1974). https://doi.org/10.1109/TSMC.1974.5408453

4. Nowe, A., Verbeeck, K., Peeters, M.: Learning automata as a basis for multi agent reinforcement learning. (2006) https://doi.org/10.1007/11691839_3

5. Misra, S., Tiwari, V., Obaidat, M.S.: Lacas: learning automata-based congestion avoidance scheme for healthcare wireless sensor networks. IEEE J. Sel. Areas Commun. 27(4), 466–479 (2009). https://doi.org/10.1109/JSAC.2009.090510

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1. Improving VANET Data Dissemination Efficiency with Deep Neural Networks;Journal of Network and Systems Management;2024-08-25

2. Vehicular Named-Data Networking: Background, State of the Art, and Challenges. A Review;2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29

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