Open Access
| Issue |
ITM Web Conf.
Volume 69, 2024
International Conference on Mobility, Artificial Intelligence and Health (MAIH2024)
|
|
|---|---|---|
| Article Number | 04010 | |
| Number of page(s) | 5 | |
| Section | Transactions | |
| DOI | https://doi.org/10.1051/itmconf/20246904010 | |
| Published online | 13 December 2024 | |
- E. Pateromichelakis, F. Moggio, C. Mannweiler, P. Arnold, M. Shariat, M. Einhaus, Q. Wei, Bulakci, and A. De Domenico, “End-to-end data analytics framework for 5g architecture,” IEEE Access, vol. 7, pp. 40295–40312, 2019. [CrossRef] [Google Scholar]
- K. Cao, Y. Liu, G. Meng, and Q. Sun, “An overview on edge computing research,” in IEEE Access, vol. 8, no. 85714-85728, 2020, doi: 10.1109/ACCESS.2020.2991734. [Google Scholar]
- A. K. I. Balqees Talal Hasan, “Edge computing for iot,” ResearchGate, February 2024. [Google Scholar]
- K. Cao, Y. Liu, G. Meng, and Q. Sun, “An overview on edge computing research,” IEEE Access, vol. 8, pp. 85 714–85 728, 2020. [Google Scholar]
- M. De Donno, K. Tange, and N. Dragoni, “Foundations and evolution of modern computing paradigms: Cloud, iot, edge, and fog,” IEEE Access, vol. 7, pp. 150 936–150 948, 2019. [Google Scholar]
- K. Zhang, Y. Mao, and S. Leng, “Energyefficient offloading for mobile edge computing in 5g heterogeneous networks,” IEEE Access, January 2016. [Google Scholar]
- X. Chen, L. Pu, L. Gao, W. Wu, and D. Wu, “Exploiting massive d2d collaboration for energy-efficient mobile edge computing,” IEEE Wireless Commun, Aug 2017. [Google Scholar]
- B. P. Rimal, D. P. Van, and M. Maier, “Mobile edge computing empowered fiber-wireless access networks in the 5g era,” IEEE Communications Magazine, vol. 55, no. 2, pp. 192–200, 2017. [CrossRef] [Google Scholar]
- X. Huang, R. Yu, J. Kang, Y. He, and Y. Zhang., “Exploring mobile edge computing for 5g-enabled software defined vehicular networks,” IEEE Wireless Commun, 2017. [Google Scholar]
- T. X. Tran, A. Hajisami, P. Pandey, and D. Pompili, “Collaborative mobile edge computing in 5g networks: New paradigms, scenarios, and challenges,” IEEE Communications Magazine, 2017. [Google Scholar]
- I. Al Ridhawi, M. Aloqaily, Y. Kotb, Y. Al Ridhawi, and Y. Jararweh, “A collaborative mobile edge computing and user solution for service composition in 5g systems,” Transactions on Emerging Telecommunications Technologies, vol. 29, no. 11, p. e3446, 2018. [CrossRef] [Google Scholar]
- J. Liu, J. Wan, D. Jia, B. Zeng, D. Li, C.-H. Hsu, and H. Chen, “High-efficiency urban traffic management in context-aware computing and 5g communication,” IEEE Communications Magazine, vol. 55, no. 1, pp. 34–40, 2017, dIO: 10.1109/MCOM.2017.1600371CM. [CrossRef] [Google Scholar]
- Q.-V. Pham, F. Fang, V. N. Ha, M. J. Piran, M. Le, L. B. Le, W.-J. Hwang, and Z. Ding, “A survey of multi-access edge computing in 5g and beyond: Fundamentals, technology integration, and state-of-the-art,” IEEE access, vol. 8, pp. 116 974–117 017, 2020. [Google Scholar]
- A. Sarah, G. Nencioni, and M. M. I. Khan, “Re-source allocation in multi-access edge computing for 5g-and-beyond networks,” Computer Networks, vol. 227, p. 109720, 2023. [CrossRef] [Google Scholar]
- Y. Liu, M. Peng, G. Shou, Y. Chen, and S. Chen, “Toward edge intelligence: Multiaccess edge computing for 5g and internet of things,” IEEE Internet of Things Journal, vol. 7, no. 8, pp. 6722–6747, 2020. [CrossRef] [MathSciNet] [Google Scholar]
- M. Liyanage, P. Porambage, A. Y. Ding, and A. Kalla, “Driving forces for multiaccess edge computing (mec) iot integration in 5g,” ICT Express, 2021. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2405959521000631 [Google Scholar]
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