SDN-Based Edge Computing in Vehicular Communication Networks: A Survey of Existing Approaches
Year: 2025
Type: article
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.
Source: IEEE Access
Authors: Syed Aizaz Ul Haq, Muqaddas Imran, Nadir Shah, Gabriel-Miro Muntean
Institutions: COMSATS University Islamabad, Dublin City University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,075
Awards: G1281767676, G2057530385
OpenAlex ID: W4409473905
