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Enhancing Vehicular Ad Hoc Networks (VANET) with AI and SDN: A Comprehensive Review

Authors

Lewys Correa Sánchezl1, Octavio José Salcedo Parra1 and Miguel J. Espitia R.2, 1Universidad Distrital Francisco José de Caldas, Colombia, 2Universidad Distrital Francisco José de Caldas, Colombia

Abstract

The use of vehicular ad hoc networks (Vanet) has become increasingly important in today's world due to their ability to enhance driving safety and vehicular traffic efficiency. This article will discuss artificial intelligence techniques used in Vanet, including machine learning, deep learning, and swarm intelligence techniques. Furthermore, we will examine the routing challenges within Vanet, including issues like communication link disruptions, obstacles, and varying vehicle speeds. Lastly, we will explore the implementation of software-defined networks (SDN) in Vanet, encompassing SDN protocols and architectures.

Keywords

Vehicular communications, routing, artificial intelligence, software-defined networks & Vanet

Full Text  Volume 13, Number 22