A New Fuzzy-Based Resource Management System for SDN-VANETs

Abstract

Vehicular ad hoc networks (VANETs) face several technical challenges in deployment and management due to variable capacity of wireless links, bandwidth constrains, high latency and dynamic topology. Cloud, fog, and edge computing are considered a way to deal with these communication challenges. On the other hand, software defined networking (SDN) can be used to provide flexibility, programmability, scalability, and global knowledge as well as new services and features. In this article, the authors propose an intelligent approach for resource management in SDN-VANETs using fuzzy logic. A layered Cloud-Fog-Edge architecture in SDN-VANETs is introduced, which is coordinated by the SDN Controller (SDNC). A fuzzy-based system implemented in SDNC is used to make decisions on the processing layer of the VANETs application data. The decision is made by prioritizing the application requirements and by considering the available connections. The authors demonstrate in simulation the feasibility of the proposed system to improve the management of the network resources.