Energy consumption optimization through an intelligent task offloading prediction mechanism in vehicular fog networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
https://link.springer.com/content/pdf/10.1007/s10586-023-04198-1.pdf
Reference28 articles.
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3. Mao, Y., You, C., Zhang, J., Huang, K., Letaief, K.B.: A survey on mobile edge computing: the communication perspective. IEEE Commun. Surv. Tutor. 19(4), 2322–2358 (2017)
4. Mukherjee, M., Shu, L., Wang, D.: Survey of fog computing: Fundamental, network applications, and research challenges. IEEE Commun. Surv. Tutor. 20(3), 1826–1857 (2018)
5. Hu, P., Dhelim, S., Ning, H., Qiu, T.: Survey on fog computing: architecture, key technologies, applications and open issues. J. Netw. Comput. Appl. 98, 27–42 (2017)
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1. Energy‐efficient mechanisms for sustainable operations in vehicular fog networks: Challenges, state‐of‐the‐art, and future directions;International Journal of Communication Systems;2024-07-11
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