Mobile QR Code QR CODE

REFERENCES

1 
I. Martinez, A. S. Hafid and A. Jarray, "Design, Resource Management, and Evaluation of Fog Computing Systems: A Survey," in IEEE Internet of Things Journal, vol. 8, no. 4, pp. 2494-2516, 15 Feb.15, 2021DOI
2 
H. -J. Hong, "From Cloud Computing to Fog Computing: Unleash the Power of Edge and End Devices," 2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2017, pp. 331-334DOI
3 
C. Huang, R. Lu and K. R. Choo, "Vehicular Fog Computing: Architecture, Use Case, and Security and Forensic Challenges," in IEEE Communications Magazine, vol. 55, no. 11, pp. 105-111, Nov. 2017DOI
4 
K. S. Awaisi et al., "Towards a Fog Enabled Efficient Car Parking Architecture," in IEEE Access, vol. 7, pp. 159100-159111, 2019DOI
5 
A. Thakur and R. Malekian, "Fog Computing for Detecting Vehicular Congestion, an Internet of Vehicles Based Approach: A Review," in IEEE Intelligent Transportation Systems Magazine, vol. 11, no. 2, pp. 8-16, Summer 2019DOI
6 
J. Jakubiak and Y. Koucheryavy, "State of the Art and Research Challenges for VANETs," 2008 5th IEEE Consumer Communications and Networking Conference, 2008, pp. 912-916DOI
7 
H. Hartenstein and L. P. Laberteaux, "A tutorial survey on vehicular ad hoc networks," in IEEE Communications Magazine, vol. 46, no. 6, pp. 164-171, June 2008DOI
8 
Kadhim , Ahmed Jawad, and Seyed Amin Hosseini Seno. "Energy-efficient multicast routing protocol based on SDN and fog computing for vehicular networks." Ad Hoc Networks~84 (2019): 68-81DOI
9 
Z. Ning, J. Huang and X. Wang, "Vehicular Fog Computing: Enabling Real-Time Traffic Management for Smart Cities," in IEEE Wireless Communications, vol. 26, no. 1, pp. 87-93, February 2019DOI
10 
C. Lin, G. Han, X. Qi, M. Guizani and L. Shu, "A Distributed Mobile Fog Computing Scheme for Mobile Delay-Sensitive Applications in SDN-Enabled Vehicular Networks," in IEEE Transactions on Vehicular Technology, vol. 69, no. 5, pp. 5481-5493, May 2020DOI
11 
C. Zhang, W. Li, Y. Luo and Y. Hu, "AIT: An AI-Enabled Trust Management System for Vehicular Networks Using Blockchain Technology," in IEEE Internet of Things Journal, vol. 8, no. 5, pp. 3157-3169, 1 March1, 2021DOI
12 
M. Peng, T. Q. S. Quek, G. Mao, Z. Ding and C. Wang, "Artificial-Intelligence-Driven Fog Radio Access Networks: Recent Advances and Future Trends," in IEEE Wireless Communications, vol. 27, no. 2, pp. 12-13, April 2020DOI
13 
Mchergui, Abir, Tarek Moulahi, and Sherali Zeadally. "Survey on artificial intelligence (AI) techniques for vehicular ad-hoc networks (VANETs)."~Vehicular Communications 34 (2022): 100403.DOI
14 
Z. Jiang, S. Fu, S. Zhou, Z. Niu, S. Zhang and S. Xu, "AI-Assisted Low Information Latency Wireless Networking," in IEEE Wireless Communications, vol. 27, no. 1, pp. 108-115, February 2020DOI
15 
Memon , Salman, and Muthucumaru Maheswaran. "Using machine learning for handover optimization in vehicular fog computing." In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, pp. 182-190. 2019DOI
16 
J. Feng, Z. Liu, C. Wu and Y. Ji, "AVE: Autonomous Vehicular Edge Computing Framework with ACO-Based Scheduling," in IEEE Transactions on Vehicular Technology, vol. 66, no. 12, pp. 10660-10675, Dec. 2017DOI
17 
Marsic, Ivan. "Computer networks: Performance and quality of service." (2013)URL
18 
C. Swain et al., "METO: Matching-Theory-Based Efficient Task Offloading in IoT-Fog Interconnection Networks," in IEEE Internet of Things Journal, vol. 8, no. 16, pp. 12705-12715, 15 Aug.15, 2021DOI