• English
    • العربية
  • العربية
  • Login
  • QU
  • QU Library
  •  Home
  • Communities & Collections
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.

    Guest Editorial: Aerial Computing: Drones for Multi-Access Edge Computing

    Thumbnail
    View/Open
    Guest_Editorial_Aerial_Computing_Drones_for_Multi-Access_Edge_Computing.pdf (571.2Kb)
    Date
    2021-10-01
    Author
    Zheng, Jianchao
    Anpalagan, Alagan
    Guizani, Mohsen
    Wu, Yuan
    Zhang, Ning
    Chen, Xianfu
    Yu, F. Richard
    ...show more authors ...show less authors
    Metadata
    Show full item record
    Abstract
    The employment of multi-access edge computing (MEC) promotes the emergence of novel computation-intensive and time-sensitive applications at the network edge. Resource-limited devices can offload their computing tasks to edge servers, thereby avoiding heavy computing loads and reducing energy consumption. However, the computing servers are usually embedded in the fixed access points (APs) or base stations (BSs) in traditional MEC, which make it difficult to meet the unexpected explosively increasing computing demands and server users in certain emergency scenarios. Due to mobility, flexibility, and maneuverability, aerial computing has drawn extensive attention, where unmanned aerial vehicles (UAVs) equipped with computing servers provide agile computing services to mobile devices. Despite the potential of the aerial computing, however, many challenges also need to be addressed in this new paradigm. Until now, limited research progress has been made toward aerial computing.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85119968815&origin=inward
    DOI/handle
    http://dx.doi.org/10.1109/MWC.2021.9615123
    http://hdl.handle.net/10576/35575
    Collections
    • Computer Science & Engineering [‎2429‎ 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

    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