Year: 2026
Type: conference-paper
Abstract: Wireless networks are experiencing rapid and significant advancements, leading to the development of several types of these networks, including Vehicular Ad Hoc Networks (VANETs), which play a vital role in Intelligent Transportation Systems (ITS). The increased need for VANETs aims to ensure safe roads and a more enjoyable, enriching driving experience. For this purpose, as the routing process is critical, most proposed routing protocols incorporate Machine Learning (ML) techniques to improve network performance and ensure a certain level of Quality of Service (QoS). In this paper, we reviewed existing research and contributions based on the use of ML models to improve the QoS routing performance, we classified them based on the ML technique used and we detailed each routing protocol by analyzing the QoS parameters used, how ML performs QoS metrics, we offered a comparison of these protocols, discussing their strengths, limitations, and research challenges.
Source: Procedia Computer Science
Institution: University of Béjaïa
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7214333330