Internet of Things (IoT) envisions an intelligent infrastructure of networked smart devices offering task-specific monitoring and control services. The unique features of IoT include extreme heterogeneity, massive number of devices, and unpredictable dynamics partially due to human interaction. These call for foundational innovations in network design and management. Ideally, it should allow efficient adaptation to changing environments, and low-cost implementation scalable to a massive number of devices, subject to stringent latency constraints. To this end, the overarching goal of this paper is to outline a unified framework for online learning and management policies in IoT through joint advances in communication, networking, learning, and optimization. From the network architecture vantage point, the unified framework leverages a promising fog architecture that enables smart devices to have proximity access to cloud functionalities at the network edge, along the cloud-to-things continuum. From the algorithmic perspective, key innovations target online approaches adaptive to different degrees of nonstationarity in IoT dynamics, and their scalable model-free implementation under limited feedback that motivates blind or bandit approaches. The proposed framework aspires to offer a stepping stone that leads to systematic designs and analysis of task-specific learning and management schemes for IoT, along with a host of new research directions to build on.


    Access

    Download


    Export, share and cite



    Title :

    Learning and management for internet of things. Accounting for adaptivity and scalability



    Publication date :

    2019-01-01



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



    VEHICLE COMMUNICATION ADAPTIVITY

    SALTER STUART C / PREISS MEGHAN / BUTTOLO PIETRO et al. | European Patent Office | 2023

    Free access

    Adaptivity Through Mesh Movement

    Catherall, D. / Royal Aeronautical Society | British Library Conference Proceedings | 1993


    Adaptivity in Crashworthiness Calculations

    Belytschko, T. / Lee, S.-H. / Yeh, I. S. et al. | British Library Conference Proceedings | 1993


    Shape optimization with p-adaptivity

    Salagame, Raviprakash / Belegundu, Ashok | AIAA | 1994


    Shape Optimization with p Adaptivity

    Salagame, R.R. | Online Contents | 1995