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    M. Chen, L. Mokdad, C. Charmois, J.M. Fourneau.
    An MDP model-based initial strategy prediction method for LoRaWAN.
    IEEE International Conference on Communications
    ((ICC'22) , IEEE communication society, pages 1-6, Mai 2022, Séoul.

    M. Chen, L. Mokdad, J. Ben Othman, J.M. Fourneau
    STEPS - Score Table based Evaluation and Parameters Surfing approach of LoRaWAN.
    In proceeding of IEEE Global Communications conference
    (GLOBECOM’21), IEEE communication society, Madrid, Décembre 2021. (Best paper award)

    M. Chen, L. Mokdad, J. Ben Othman, J.M. Fourneau
    MULANE - A Lightweight Extendable Agent-Oriented LoRaWAN Simulator with GUI.
    In proceeding of Symposium on Computers and Communications
    (ISCC'21), IEEE communication society, pages 1-6, Athènes, Septembre 2021.

    J.M. Fourneau, E. Longueville, Y. Ben Maissa, L. Echabbi, and H. Lotfi
    Computing bounds for delay in a stochastic network.
    ASMTA/EPEW 21, Springer Verlag, Lecture Notes in Computer Science, V13104, p 131--147, 2021.

    J.M. Fourneau, L. Echabbi, O. Gacem, H. Lotfi and N. Pekergin
    Stochastic Bounds for the Max Flow in a Network with Discrete Random Capacities.
    Electronic Notes in Theoretical Computer Science, ISSN: 1571-0661, Vol: 353, Page: 77-105, 2020.

Energy and Performance Issues for a NEtwork in a Smart-city: EPINES

Projet soutenue par DIM RFSI