ANALYSIS MANAGEMENT IN VEHICULAR NETWORKS

Abstract

Vehicular networks stand out for their capacity and potential for traffic control, road safety, traffic efficiency, and V2V and V2I communications, but they also present many challenges. The characteristics of their heterogeneous infrastructure and their integration with other network technologies make them vulnerable and difficult to manage. This article proposes an analysis of vehicular network management by reviewing the existing literature that covers the different paradigms associated with the management method in this type of network. To achieve this objective, a general description of vehicular networks, commonly known as VANETs (Vehicle Ad-hoc Networks), is first proposed. The different challenges faced by vehicular networks are analyzed, and from these, solutions and different approaches for achieving efficient management in VANETs are identified. Finally, some security issues are mentioned due to their importance in this context and also because they are one of the most common problems in this technology. The results provide an overview of the different forms of vehicle network management, serving as a reference for professionals in their understanding of this topic. The work demonstrates that VANET management is becoming easier by applying advanced technologies such as Artificial Intelligence (AI) and Edge Computing.