SDN-Based Edge Computing in Vehicular Communication Networks: A Survey of Existing Approaches

Improved communication performance in a vehicular communication network (VCN) is achieved by enabling additional computation and storage support at the level of edge, fog and cloud. Specifically, the edge/fog server location near to the vehicles enables 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 that further communications performance improvements 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 the researchers in future are presented and discussed.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3561083
Citations
5
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
7.44

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article

SDN-Based Edge Computing in Vehicular Communication Networks: A Survey of Existing Approaches

Muhammad Imran, Gabriel‐Miro Muntean, Nadir Shah, Sami Ul Haq
5 citations
IEEE Access
IoT and Edge/Fog Computing
7.44
article

SDN-Based Edge Computing in Vehicular Communication Networks: A Survey of Existing Approaches

Muhammad Imran, Gabriel‐Miro Muntean, Nadir Shah, Sami Ul Haq
article en
5 citations

Abstract

Improved communication performance in a vehicular communication network (VCN) is achieved by enabling additional computation and storage support at the level of edge, fog and cloud. Specifically, the edge/fog server location near to the vehicles enables 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 that further communications performance improvements 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 the researchers in future are presented and discussed.

IEEE AccessVol. 13
COMSATS University Islamabad (PK), Dublin City University (IE)
Higher Education Commision, Pakistan
Openalex Percentile: Top 3%
IoT and Edge/Fog Computing
7.44
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SDN-Based Edge Computing in Vehicular Communication Networks: A Survey of Existing Approaches — Muhammad Imran, Gabriel‐Miro Muntean, et al. · IEEE Access (2025) | TGRS Research Map | TGRS