Recently, many new applications are emerging in intelligent transportation systems. Diverse vehicular services impose different QoS requirements. It is imperative to leverage the Space-Air-Ground Integrated Network (SAGIN) to serve vehicles user, by combining the respective advantages of satellite network, air network, and ground network. Motivated by mobile edge computing, researchers propose to deploy edge servers on satellites, UAVs, and HAPs and make them edge nodes. Empowered by this, the edge nodes can perform collaboratively computation offloading for computation-intensive vehicular tasks. In such a complex and heterogeneous system, how to make the task assignment decision is a critical problem. In this paper, we propose a collaborative computing service platform and formulate the task assignment problem as a linear programming problem, which can be well addressed by existing optimization tools. The collaborative computing for space-air-ground integrated vehicular networks can guarantee vehicle user experience.


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    Title :

    Collaborative Computing for Space-Air-Ground Integrated Vehicular Networks


    Contributors:
    Lu, Hua (author) / Duan, Xuefei (author)


    Publication date :

    2021-10-01


    Size :

    477079 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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