Mobile Edge Computing (MEC) provides a high-bandwidth, low-latency computing environment for a large number of computing tasks of intelligent and connected vehicles. It is a non-trivial task to select the personalized service nodes for each vehicle regarding task offloading. To address this challenge, a vehicle computing task offloading algorithm based on a recommender system is proposed. Specifically, the vehicle task offloading problem is formulated as an optimization problem that aims to maximize the utility, in which the utility function quantifies the personalized demand and satisfaction of the vehicles. Then, the optimization problem is solved by constructing a relevant dataset and a recommendation algorithm to acquire the personalized assignment of vehicle edge computing task offloading. The simulation results show that the proposed method can achieve higher system utility compared with traditional offloading schemes, indicating improved quality of service and user satisfaction.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Personalized Vehicle Task Offloading Based on the Recommender System


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Jia, Limin (editor) / Easa, Said (editor) / Qin, Yong (editor) / Wang, Xiaowei (author) / Li, Huan (author) / Ouyang, Wenjie (author) / Li, Yang (author) / Bian, Yougang (author) / Hu, Manjiang (author)

    Conference:

    International Conference on SmartRail, Traffic and Transportation Engineering ; 2023 ; Changsha, China July 28, 2023 - July 30, 2023



    Publication date :

    2024-08-14


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    INTELLIGENT TASK OFFLOADING

    INAM RAFIA / HATA ALBERTO / RUGGERI FRANCO et al. | European Patent Office | 2022

    Free access

    INTELLIGENT TASK OFFLOADING

    INAM RAFIA / HATA ALBERTO / RUGGERI FRANCO et al. | European Patent Office | 2024

    Free access

    SLO-Aware Task Offloading within Collaborative Vehicle Platoons

    Sedlak, Boris / Morichetta, Andrea / Wang, Yuhao et al. | ArXiv | 2024

    Free access

    UNMANNED AERIAL VEHICLE AND METHOD FOR SUPPORTING TASK OFFLOADING

    HONG CHOONG SEON / YAN KYAW TUN / PARK YU MIN et al. | European Patent Office | 2023

    Free access