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.


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    Title :

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


    Contributors:
    Zhang, Zhiou (author) / Guo, Weian (author) / Zhang, Qin (author) / Lin, Meibin (author) / Li, Dongyang (author)


    Publication date :

    2024-12-11


    Size :

    1214605 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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