79 Cooperative content caching among RSU’s and vehicular edge nodes by considering content popularity and the Probability of visiting the hot zones.
Keywords:
Cooperative, vehicular edge content, ProbabilityAbstract
Improving the performance of content distribution in vehicle networks is possible via the use of RSUs (Roadside Units) and edge nodes that work together to cache data/ content . By taking into account content popularity and the likelihood of visiting the hot zones, we give a complete evaluation of previous experiments on cooperative content caching in this study. In this study, we evaluate and contrast several strategies for enhancing content delivery performance that have been presented in the literature. Cooperative caching has been shown to increase the Quality of Service (QoS) and decrease the latency of content delivery in vehicular networks, according to the evaluated research. We also stress the significance of popular material and the likelihood of visiting the hot zones when it comes to content caching. Exploring more effective caching algorithms and assessing the effectiveness of cooperative caching in real-world circumstances are two potential next steps for researchers in this field.
References
Zhang, X., et al. A Survey of Content Caching in Vehicular Networks. IEEE Communications Surveys & Tutorials, vol. 20, no. 1, 2018, pp. 469-506.
Zhou, Y., et al. Cooperative Content Caching in Vehicular Networks: A Survey. IEEE Communications Magazine, vol. 55, no. 11, 2017, pp. 74-79.
Zhao, H., et al. Cooperative Caching in Vehicular Networks: A Review of Recent Advances. IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 5, 2019, pp. 1573-1588.
Sanaei, Z., et al. Content-Centric Networking in Vehicular Ad Hoc Networks: A Comprehensive Survey. IEEE Communications Surveys & Tutorials, vol. 21, no. 2, 2019, pp. 1621-1656.
Zhang, Q., et al. A Survey on Cooperative Content Caching for Vehicular Networks. Mobile Information Systems, vol. 2018, 2018, pp. 1-12.
Amadeo, M. (2021). A Literature Review on Caching Transient Contents in Vehicular Named Data Networking. Telecom, 2(1), 75–92. https://doi.org/10.3390/telecom2010006
Chen, J., Wu, H., Yang, P., Lyu, F., & Shen, X. (2020). Cooperative Edge Caching with Location-Based and Popular Contents for Vehicular Networks. IEEE Transactions on Vehicular Technology, 69(9), 10291–10305. https://doi.org/10.1109/TVT.2020.3004720
Choi, Y., & Lim, Y. (2023). Deep Reinforcement Learning for Edge Caching with Mobility Prediction in Vehicular Networks. Sensors, 23(3). https://doi.org/10.3390/s23031732
Guo, H., Rui, L. lan, & Gao, Z. peng. (2020). A zone-based content pre-caching strategy in vehicular edge networks. Future Generation Computer Systems, 106, 22–33. https://doi.org/10.1016/j.future.2019.12.050
Gupta, D., Rani, S., Tiwari, B., & Gadekallu, T. R. (2023). An edge communication based probabilistic caching for transient content distribution in vehicular networks. Scientific Reports, 13(1), 1–13. https://doi.org/10.1038/s41598-023-30315-6
Han, L., Li, S., Ao, C., Liu, Y., Liu, G., Zhang, Y., & Zhao, J. (2022). MEC-Based Cooperative Multimedia Caching Mechanism for the Internet of Vehicles. Wireless Communications and Mobile Computing, 2022. https://doi.org/10.1155/2022/8777890
Nam, Y., Choi, H., Shin, Y., Lee, E., & Lee, E. K. (2021). Adaptive content precaching scheme based on the predictive speed of vehicles in content-centric vehicular networks. Sensors, 21(16), 1–30. https://doi.org/10.3390/s21165376
Oh, S., Park, S., Shin, Y., & Lee, E. (2022). Optimized Distributed Proactive Caching Based on Movement Probability of Vehicles in Content-Centric Vehicular Networks†. Sensors, 22(9), 1–20. https://doi.org/10.3390/s22093346
Wu, H., Fan, Y., Wang, Y., Ma, H., & Xing, L. (2021). A comprehensive review on edge caching from the perspective of total process: Placement, policy and delivery. Sensors, 21(15), 1–28. https://doi.org/10.3390/s21155033
Yao, L., Wang, Y., Wang, X., & Wu, G. (2021). Cooperative Caching in Vehicular Content Centric Network Based on Social Attributes and Mobility. IEEE Transactions on Mobile Computing, 20(2), 391–402. https://doi.org/10.1109/TMC.2019.2944829
Zhang, M., Wang, S., & Gao, Q. (2020). A joint optimization scheme of content caching and resource allocation for internet of vehicles in mobile edge computing. Journal of Cloud Computing, 9(1). https://doi.org/10.1186/s13677-020-00182-x
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Re-users must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. This license allows for redistribution, commercial and non-commercial, as long as the original work is properly credited.
