In the cooperative vehicle‐infrastructure system (CVIS), due to its computation limitation, vehicles are difficult to handle computing‐intensive delay‐sensitive tasks, so offload tasks to roadside unit (RSU) become popular. Due to the complexity of vehicles’ tasks and tasks generated by different vehicles have different delay constraints, minimize energy consumption of RSUs under task dependence and delay constraints is challenging. This paper defines the task priority queuing criterion for the task priority division problem, proposes a task scheduling strategy for energy‐packet queue length tradeoff (TSET) in CVIS under RSUs distributed task scheduling problem and establishes the vehicle speed state model, task model, data queue model, task computing model and energy consumption model. After Lyapunov optimization theory transformed the optimization model, a knapsack problem was described. The simulation results verify that TSET reduces the average energy consumption of roadside units and ensures the stability of the data queue under task dependence and deadline conditions.


    Access

    Download


    Export, share and cite



    Title :

    Energy‐efficient adaptive dependent task scheduling in cooperative vehicle‐infrastructure system


    Contributors:
    Su, Beipo (author) / Dai, Liang (author) / Ju, Yongfeng (author)

    Published in:

    Publication date :

    2024-08-01


    Size :

    13 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English






    Energy-Efficient Cooperative Techniques for Infrastructure-to-Vehicle Communications

    Tuan-Duc Nguyen, / Berder, O. / Sentieys, O. | IEEE | 2011



    Cooperative Infrastructure-Based Vehicle Positioning

    de Ponte Muller, Fabian / Diaz, Estefania Munoz / Rashdan, Ibrahim | IEEE | 2016