Smart City Gnosys

Smart city article details

Title	A Fog Computing Model For Vanet To Reduce Latency And Delay Using 5G Network In Smart City Transportation
ID_Doc	1710
Authors	Farooqi A.M.; Alam M.A.; Hassan S.I.; Idrees S.M.
Year	2022
Published	Applied Sciences (Switzerland), 12, 4
DOI	http://dx.doi.org/10.3390/app12042083
Abstract	Connected vehicles are a vital part of smart cities, which connect over a wireless connec-tion and bring mobile computation and communication abilities. As a mediator, fog computing re-sides between vehicles and the cloud and provides vehicles with processing, storage, and networking power through Vehicular Ad-hoc networks (VANET). VANET is a time-sensitive technology that requires less time to process a request received from a vehicle. Delay and latency are the noto-rious issues of VANET and fog computing. To deal with such problems, in this work, we developed a priority-based fog computing model for smart urban vehicle transportation that reduces the delay and latency of fog computing. To upgrade the fog computing infrastructure to meet the latency and Quality of Service (QoS) requirements, 5G localized Multi-Access Edge Computing (MEC) servers have also been used, which resulted tremendously in reducing the delay and the latency. We de-creased the data latency by 20% compared to the experiment carried using only cloud computing architecture. We also reduced the processing delay by 35% compared with the utilization of cloud computing architecture. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Author Keywords	5G SDN; Fog computing; Internet of things; Internet of vehicles; Smart city development; Vehicular ad hoc network

Similar Articles

Id	Similarity	Authors	Title	Published
5818	0.955	Maruthamuthu R.; Patel N.; Yawanikha T.; Jayasree S.; Alsalami Z.; Subbarao S.P.V.	A Way To Design Fog Computing Model For 5G Network Using Vanet	2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2024 (2024)
50571	0.947	Wang M.; Mao J.; Zhao W.; Han X.; Li M.; Liao C.; Sun H.; Wang K.	Smart City Transportation: A Vanet Edge Computing Model To Minimize Latency And Delay Utilizing 5G Network	Journal of Grid Computing, 22, 1 (2024)
3376	0.918	Ali Z.H.; Badawy M.M.; Ali H.A.	A Novel Geographically Distributed Architecture Based On Fog Technology For Improving Vehicular Ad Hoc Network (Vanet) Performance	Peer-to-Peer Networking and Applications, 13, 5 (2020)
53755	0.909	Jhawar V.; Rangnekar Y.; Mohapatra H.	Survey Of Fog Computing Applications In Vehicular Communication For Smart Transportation Systems	Driving Innovation at the Intersection of Renewable Energy and the Internet of Vehicles (2025)
26799	0.9	Rehman M.A.U.; Salah Ud Din M.; Mastorakis S.; Kim B.-S.	Foggyedge: An Information-Centric Computation Offloading And Management Framework For Edge-Based Vehicular Fog Computing	IEEE Intelligent Transportation Systems Magazine, 15, 5 (2023)
26743	0.894	Hazra A.; Rana P.; Adhikari M.; Amgoth T.	Fog Computing For Next-Generation Internet Of Things: Fundamental, State-Of-The-Art And Research Challenges	Computer Science Review, 48 (2023)
32658	0.891	Rathore R.; Kaushik P.; Sikarwar S.S.; Joshi H.; Mishra A.K.; Hudda Y.	Intelligent Transportation Systems Make Use Of Fog And Edge Computing For Navigation	2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2024 (2024)
2279	0.889	Afzal I.; ul Amin N.; Ahmad Z.; Algarni A.	A Latency-Aware And Fault-Tolerant Framework For Resource Scheduling And Data Management In Fog-Enabled Smart City Transportation Systems	Computers, Materials and Continua, 82, 1 (2025)
41793	0.887	Islam L.; Hassan M.T.	Performance Evaluation Of Vehicle-Centered Traffic Management Using Fog Computing-Based Wireless Network	2023 26th International Conference on Computer and Information Technology, ICCIT 2023 (2023)
23621	0.885	Roy S.S.; Sahu B.J.R.; Dash S.	Enhanced Fog-Based Smart Parking System With 5G	Proceedings - 2023 International Conference on Intelligent Computing, Communication and Convergence, ICI3C 2023 (2023)