As Autonomous Vehicles continue to advance and Intelligent Transportation Systems are implemented globally, vehicular ad hoc networks (VANETs) are increasingly becoming a part of the Internet, creating the Internet of Vehicles (IoV). In an IoV framework, vehicles communicate with each other, roadside units (RSUs), and the surrounding infrastructure, leveraging edge, fog, and cloud computing for diverse tasks. These networks must support dynamic vehicular mobility and meet strict Quality of Service (QoS) requirements, such as ultra-low latency and high throughput. Terrestrial wireless networks often fail to satisfy these needs, which has led to the integration of Unmanned Aerial Vehicles (UAVs) into IoV systems. UAV transceivers provide superior line-of-sight (LOS) connections with vehicles, offering better connectivity than ground-based RSUs and serving as mobile RSUs (mRSUs). UAVs improve IoV performance in several ways, but traditional optimization methods are inadequate for dynamic vehicular environments. As a result, recent studies have been incorporating Artificial Intelligence (AI) and Machine Learning (ML) algorithms into UAV-assisted IoV systems to enhance network performance, particularly in complex areas like resource allocation, routing, and mobility management. This survey paper reviews the latest AI/ML research in UAV-IoV networks, with a focus on resource and trajectory management and routing. It analyzes different AI techniques, their training features, and architectures from various studies; addresses the limitations of AI methods, including the demand for computational resources, availability of real-world data, and the complexity of AI models in UAV-IoV contexts; and considers future research directions in UAV-IoV.


    Access

    Download


    Export, share and cite



    Title :

    A Survey on Artificial-Intelligence-Based Internet of Vehicles Utilizing Unmanned Aerial Vehicles


    Contributors:


    Publication date :

    2024




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    UTILIZING UNMANNED AERIAL VEHICLES FOR EMERGENCY RESPONSE

    HUSAIN SYED MOHAMMAD AMIR / AKBAR ZEHRA / LOPEZ MILTON et al. | European Patent Office | 2021

    Free access

    UTILIZING UNMANNED AERIAL VEHICLES FOR EMERGENCY RESPONSE

    HUSAIN SYED MOHAMMAD AMIR / AKBAR ZEHRA / LOPEZ MILTON et al. | European Patent Office | 2022

    Free access

    UTILIZING UNMANNED AERIAL VEHICLES FOR EMERGENCY RESPONSE

    HUSAIN SYED / AKBAR ZEHRA / LOPEZ MILTON et al. | European Patent Office | 2021

    Free access

    Companion Unmanned Aerial Vehicles: A Survey

    Liew, Chun Fui / Yairi, Takehisa | ArXiv | 2020

    Free access

    Artificial Intelligence guidance for Unmanned Aerial Vehicles in three dimensional space

    Chithapuram, Chethan / Jeppu, Yogananda V. / Kumar, Ch. Aswani | IEEE | 2014