Intelligent vehicular network (IVN) is the underlying support for the connected vehicles and smart city, but there are several challenges for IVN data processing due to the dynamic structure of the vehicular network. Graph processing, as one of the essential machine learning and big data processing paradigm, which provide a set of big data processing scheme, is well-designed to processing the connected data. In this paper, we discussed the research challenges of IVN data processing and motivated us to address these challenges by using graph processing technologies. We explored the characteristics of the widely used graph algorithms and graph processing frameworks on GPU. Furthermore, we proposed several graph-based optimization technologies for IVN data processing. The experimental results show the graph processing technologies on GPU can archive excellent performance on IVN data.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Graph-Enabled Intelligent Vehicular Network Data Processing


    Contributors:


    Publication date :

    2022-05-01


    Size :

    1325240 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Intelligent Networking enabled Vehicular Distributed Learning

    Xu, Wenchao / Zhou, Haibo / Shen, Xuemin (Sherman) | Springer Verlag | 2021


    Block Chain and Big Data-Enabled Intelligent Vehicular Communication

    Mumtaz, Shahid / Al-Dulaimi, Anwer / Gacanin, Haris et al. | IEEE | 2021


    Vehicular Communication Network Enabled CAV Data Offloading: A Review

    Ahmed, Manzoor / Mirza, Muhammad Ayzed / Raza, Salman et al. | IEEE | 2023


    UNDERSTANDING THE DATA-PROCESSING CHALLENGES IN INTELLIGENT VEHICULAR SYSTEMS

    Costache, Stefania / Gulisano, Vincenzo / Papatriantafilou, Marina | British Library Conference Proceedings | 2016


    5G-enabled vehicular communications and networking

    Cheng, Xiang / Zhang, Rongqing / Yang, Liuqing | TIBKAT | 2019