In cases of catastrophic events such as natural disasters or physical calamities, current network infrastructure can become inoperative. Furthermore, there are transient events leading to excessive demand surges where it is needed to deploy additional network capacity on-demand. In such cases, rapid network deployments become vital to establish communications and enable networked services. Unmanned Aerial Vehicle(UAV) networks are good candidates for this kind of operation. Software-defined networking and content-centric operation are promising technologies to enable agile control, network visibility and efficient content delivery via centralized optimization in these challenged systems. In this work, we consider an edge network which is composed of UAVs and serves in a content-centric mode with in-network caching and device-to-device (D2D) transmissions. We develop a cache placement and selection scheme for energy efficient operation. We also investigate how such a system performs under different operating conditions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Caching and D2D Sharing for Content Delivery in Software-Defined UAV Networks


    Beteiligte:
    Kalinagac, Onur (Autor:in) / Kafiloglu, S. Sinem (Autor:in) / Alagoz, Fatih (Autor:in) / Gur, Gurkan (Autor:in)


    Erscheinungsdatum :

    01.09.2019


    Format / Umfang :

    1136379 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Content caching and delivery over heterogeneous wireless networks

    Hachem, Jad / Karamchandani, Nikhil / Diggavi, Suhas | IEEE | 2015



    A Review on AI-Enabled Content Caching in Vehicular Edge Caching and Networks

    Masood, Arooj / Tuan, Do Quang / Lakew, Demeke Shumeye et al. | IEEE | 2023


    Software Defined Satellite Networks

    Gopal, Rajeev / Ravishankar, Channasandra | AIAA | 2014


    Integrated Sensing, Communication, and Caching for Content Delivery in SAGIVNs

    Qiu, Yi / Renata, Rubinshteyn / Hui, Yilong et al. | IEEE | 2022