SDN-Based Edge Computing in Vehicular Communication Networks: A Survey of Existing Approaches
Improved communication performance in vehicular communication networks (VCN) is achieved by enabling additional computation and storage support at the levels of edge, fog, and cloud. Specifically, the edge/fog servers located near vehicles enable improved networking performance, especially in terms...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10965999/ |
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| author | Syed Aizaz Ul Haq Muqaddas Imran Nadir Shah Gabriel-Miro Muntean |
| author_facet | Syed Aizaz Ul Haq Muqaddas Imran Nadir Shah Gabriel-Miro Muntean |
| author_sort | Syed Aizaz Ul Haq |
| collection | DOAJ |
| description | Improved communication performance in vehicular communication networks (VCN) is achieved by enabling additional computation and storage support at the levels of edge, fog, and cloud. Specifically, the edge/fog servers located near vehicles enable improved networking performance, especially in terms of load balancing and end-to-end delay. Recently, Software Defined Networking (SDN) in general and SDN-based edge/fog computing in particular have been employed in the context of VCN, enabling further communications performance improvements to be achieved with the help of SDN-based fog/edge computing in the VCN (SDV-F). This paper surveys a large number of innovative approaches proposed for communications performance enhancement in the context of SDV-F and categorizes them based on different aspects, including Artificial Intelligence (AI) and security support. The advantages and limitations of the proposed approaches in each category are highlighted. Finally, various directions that can be considered as promising research avenues by researchers in the future are presented and discussed. |
| format | Article |
| id | doaj-art-dd8893ca54c04de6b7e4abe063bb3d57 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-dd8893ca54c04de6b7e4abe063bb3d572025-08-20T03:52:38ZengIEEEIEEE Access2169-35362025-01-0113742527428710.1109/ACCESS.2025.356108310965999SDN-Based Edge Computing in Vehicular Communication Networks: A Survey of Existing ApproachesSyed Aizaz Ul Haq0https://orcid.org/0009-0003-7221-899XMuqaddas Imran1https://orcid.org/0009-0003-5981-2329Nadir Shah2https://orcid.org/0000-0003-1173-4272Gabriel-Miro Muntean3https://orcid.org/0000-0002-9332-4770Department of Computer Science, COMSATS University Islamabad, Wah Campus, Wah, PakistanDepartment of Computer Science, COMSATS University Islamabad, Wah Campus, Wah, PakistanDepartment of Computer Science, COMSATS University Islamabad, Wah Campus, Wah, PakistanSchool of Electronic Engineering, Dublin City University, Dublin, IrelandImproved communication performance in vehicular communication networks (VCN) is achieved by enabling additional computation and storage support at the levels of edge, fog, and cloud. Specifically, the edge/fog servers located near vehicles enable improved networking performance, especially in terms of load balancing and end-to-end delay. Recently, Software Defined Networking (SDN) in general and SDN-based edge/fog computing in particular have been employed in the context of VCN, enabling further communications performance improvements to be achieved with the help of SDN-based fog/edge computing in the VCN (SDV-F). This paper surveys a large number of innovative approaches proposed for communications performance enhancement in the context of SDV-F and categorizes them based on different aspects, including Artificial Intelligence (AI) and security support. The advantages and limitations of the proposed approaches in each category are highlighted. Finally, various directions that can be considered as promising research avenues by researchers in the future are presented and discussed.https://ieeexplore.ieee.org/document/10965999/SDNedge computingvehicular networkAI |
| spellingShingle | Syed Aizaz Ul Haq Muqaddas Imran Nadir Shah Gabriel-Miro Muntean SDN-Based Edge Computing in Vehicular Communication Networks: A Survey of Existing Approaches IEEE Access SDN edge computing vehicular network AI |
| title | SDN-Based Edge Computing in Vehicular Communication Networks: A Survey of Existing Approaches |
| title_full | SDN-Based Edge Computing in Vehicular Communication Networks: A Survey of Existing Approaches |
| title_fullStr | SDN-Based Edge Computing in Vehicular Communication Networks: A Survey of Existing Approaches |
| title_full_unstemmed | SDN-Based Edge Computing in Vehicular Communication Networks: A Survey of Existing Approaches |
| title_short | SDN-Based Edge Computing in Vehicular Communication Networks: A Survey of Existing Approaches |
| title_sort | sdn based edge computing in vehicular communication networks a survey of existing approaches |
| topic | SDN edge computing vehicular network AI |
| url | https://ieeexplore.ieee.org/document/10965999/ |
| work_keys_str_mv | AT syedaizazulhaq sdnbasededgecomputinginvehicularcommunicationnetworksasurveyofexistingapproaches AT muqaddasimran sdnbasededgecomputinginvehicularcommunicationnetworksasurveyofexistingapproaches AT nadirshah sdnbasededgecomputinginvehicularcommunicationnetworksasurveyofexistingapproaches AT gabrielmiromuntean sdnbasededgecomputinginvehicularcommunicationnetworksasurveyofexistingapproaches |