• English
    • العربية
  • العربية
  • Login
  • QU
  • QU Library
  •  Home
  • Communities & Collections
  • Help
    • Item Submission
    • Publisher policies
    • User guides
    • FAQs
  • About QSpace
    • Vision & Mission
View Item 
  •   Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Computer Science & Engineering
  • View Item
  • Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Computer Science & Engineering
  • View Item
  •      
  •  
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Blockchain and Learning-Based Computation Offloading in Space-Assisted Power IoT

    Thumbnail
    Date
    2021-01-01
    Author
    Liao, H.
    Liao, Haijun
    Zhou, Zhenyu
    Wang, Zhao
    Pan, Chao
    Jia, Zehan
    Guizani, Mohsen
    ...show more authors ...show less authors
    Metadata
    Show full item record
    Abstract
    Power systems impose stringent security and delay requirements on computation offloading, which cannot be satisfied by existing PIoT. In this paper, we address this challenge by combining blockchain and machine learning. We also introduce a novel framework named space-assisted PIoT (SPIoT), where the low earth orbit (LEO) satellite block creation delay. Specifically, we propose a Blockchain and semi-distRibuted leArning-based seCure and low-latEncy computation offloading algorithm (BRACE) to minimize the total queuing delay under the long-term security constraint. First, the device-side task offloading is decoupled from the server-side computational resource allocation with Lyapunov optimization. Second, the task offloading problem is solved by the proposed federated deep actor-critic-based task offloading algorithm. Finally, the resource allocation problem is solved by smooth approximation and Lagrange optimization. Simulation results verify that BRACE achieves superior queuing delay and security performances.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85122998386&origin=inward
    DOI/handle
    http://dx.doi.org/10.1109/CAMAD52502.2021.9617773
    http://hdl.handle.net/10576/36238
    Collections
    • Computer Science & Engineering [‎2428‎ items ]

    entitlement


    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Home

    Submit your QU affiliated work

    Browse

    All of Digital Hub
      Communities & Collections Publication Date Author Title Subject Type Language Publisher
    This Collection
      Publication Date Author Title Subject Type Language Publisher

    My Account

    Login

    Statistics

    View Usage Statistics

    About QSpace

    Vision & Mission

    Help

    Item Submission Publisher policiesUser guides FAQs

    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Video