The applications and usage of the internet is expanding on a daily basis and the Internet of Things (IoT) is fast becoming the new approach for incorporating the internet into our personal, professional and social lives. IoT enables a wide variety of devices to inter-operate through the existing internet infrastructure. Capillary networks are proposed as a fundamental part of loT development, and will enable local sensor and devices to connect efficiently with other ubiquitous communication networks such as cellular systems. In this paper, we apply the Q-learning algorithm for the scheduling of capillary gateways for (M2M) communication in IoT networks. Q-learning algorithm is used to select conflict- free slot assignment for these gateways in a self-organizing manner. We analyze the performance of the proposed algorithm with respect to learning rates and rewards.


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    Title :

    Distributed Slot Allocation in Capillary Gateways for Internet of Things Networks


    Contributors:


    Publication date :

    2016-09-01


    Size :

    227437 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Wireless internet gateways (WINGs)

    Garcia-Luna-Aceves, J.J. / Fullmer, C.L. / Madruga, E. et al. | Tema Archive | 1997





    Slot Allocation

    Sorensen, F. / Royal Aeronautical Society | British Library Conference Proceedings | 1997