Advancements in Machine Learning Techniques for Enhanced Resource Management in VANET Communication: A Comprehensive Survey

Abstract

 Abstract- The expansion of the Internet of Things in the form of autonomous vehicles and Vehicular Ad Hoc Networks (VANETs) necessitates methodical resource management to guarantee dependable and smooth communication between vehicles and infrastructure. The employment of machine learning algorithms, as a remedy to challenges associated with resource allocation and optimization in VANETs, has been on an upsurge. This survey paper provides an extensive review of emerging works aimed at applying machine learning approaches in improving resource management for VANET communications. The paper is divided into several sections that present particular aspects about Machine Learning including supervised learning, unsupervised learning, and reinforcement learning. There are also certain areas where these methods have been applied such as dynamic spectrum access, congestion control, routing optimization, quality-of-service provisioning etc. This survey is expected to be useful for researchers who wish to get an understanding about how machine learning can enhance resource management in VANET communication system.