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Filtering by: Committee Member Lee, Yun Shik Remove constraint Committee Member: Lee, Yun Shik Advisor Hamdaoui, Bechir Remove constraint Advisor: Hamdaoui, Bechir

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  • Opportunistic bandwidth sharing through reinforcement learning

    Creator:
    Venkatraman, Pavithra
    Abstract:
    The enormous success of wireless technology has recently led to an explosive demand for, and hence a shortage of, bandwidth resources. This expected shortage problem is reported to be primarily due to the inefficient, static nature of current spectrum allocation methods. As an initial step towards solving this shortage problem,...
    Resource Type:
    Masters Thesis
    Full Text:
    lectures in class. I want to thank the Graduate Council Represen- tative, Dr. Yun-Shik Lee for being a

  • Network Traffic-Driven Hybrid Learning for Classifying Seen and Unseen IoT Device Types

    Creator:
    Bao, Jiaqi
    Abstract:
    IoT networks can be viewed as collections of Internet-enabled physical devices and objects, embedded with sensor, actuator, computation, storage and communication components, that are capable of connecting and exchanging data to one another. In recent years, organizations have allowed more and more IoT devices to be connected to their networks,...
    Resource Type:
    Masters Thesis