Software-Defined Network-Based Vehicular Networks: A Position Paper on Their Modeling and Implementation

TL;DR

This paper explores the modeling and implementation of software-defined vehicular networks, emphasizing their role in supporting V2X communication within the evolving 5G and intelligent transportation systems.

Contribution

It provides a comprehensive overview of SDN-based vehicular network architectures, models, and their application to LTE-V2X, highlighting challenges and future directions.

Findings

Comparative analysis of SDN-based vehicular network models.

Discussion on challenges in SDN-enabled V2X systems.

Overview of LTE-V2X communication architectures.

Abstract

There is a strong devotion in the automotive industry to be part of a wider progression towards the Fifth Generation (5G) era. In-vehicle integration costs between cellular and vehicle-to-vehicle networks using Dedicated Short Range Communication could be avoided by adopting Cellular Vehicle-to-Everything (C-V2X) technology with the possibility to re-use the existing mobile network infrastructure. More and more, with the emergence of Software Defined Networks, the flexibility and the programmability of the network have not only impacted the design of new vehicular network architectures but also the implementation of V2X services in future intelligent transportation systems. In this paper, we define the concepts that help evaluate software-defined-based vehicular network systems in the literature based on their modeling and implementation schemes. We first overview the current studies available in the literature on C-V2X technology in support of V2X applications. We then present the different architectures and their underlying system models for LTE-V2X communications. We later describe the key ideas of software-defined networks and their concepts for V2X services. Lastly, we provide a comparative analysis of existing SDN-based vehicular network system grouped according to their modeling and simulation concepts. We provide a discussion and highlight vehicular ad-hoc networks' challenges handled by SDN-based vehicular networks.