Vehicular Ad Hoc Networks (VANETs) are a cornerstone of intelligent transportation systems, facilitating real-time communication between vehicles and infrastructure. However, the dynamic nature of VANETs introduces significant challenges in routing, especially in minimizing communication delay while ensuring route stability. This paper proposes a hierarchical evolutionary optimization framework for delay-constrained routing in vehicular networks. Leveraging multi-objective optimization, the framework balances delay and stability objectives and incorporates adaptive mechanisms like incremental route adjustments and LSTM-based predictive modeling. Simulation results confirm that the proposed framework maintains low delay and high stability, adapting effectively to frequent topology changes in dynamic vehicular environments.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Hierarchical Evolutionary Optimization with Predictive Modeling for Stable Delay-Constrained Routing in Vehicular Networks


    Beteiligte:
    Zhang, Zhiou (Autor:in) / Guo, Weian (Autor:in) / Zhang, Qin (Autor:in) / Lin, Meibin (Autor:in) / Li, Dongyang (Autor:in)


    Erscheinungsdatum :

    11.12.2024


    Format / Umfang :

    1214605 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Dynamic Resource Allocation in Queue-Constrained and Delay-Sensitive Vehicular Networks

    Su, Jiawei / Liu, Zhixin / Xie, Yuan-ai et al. | IEEE | 2023


    Delay-Minimized Routing for Full-Duplex Vehicular Ad-Hoc Networks

    Zhou, Momiao / Xu, Wei / Ding, Zhizhong et al. | IEEE | 2022




    SCRP: Stable CDS-Based Routing Protocol for Urban Vehicular Ad Hoc Networks

    Togou, Mohammed Amine / Hafid, Abdelhakim / Khoukhi, Lyes | IEEE | 2016