• English
    • العربية
  • العربية
  • Login
  • QU
  • QU Library
  •  Home
  • Communities & Collections
  • About QSpace
    • Vision & Mission
  • Help
    • Item Submission
    • Publisher policies
    • User guides
      • QSpace Browsing
      • QSpace Searching (Simple & Advanced Search)
      • QSpace Item Submission
      • QSpace Glossary
View Item 
  •   Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Research Units
  • Qatar Mobility Innovations Center
  • QMIC Research
  • View Item
  • Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Research Units
  • Qatar Mobility Innovations Center
  • QMIC Research
  • View Item
  •      
  •  
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    NDN-Q: An NDN query mechanism for efficient V2X data collection

    Icon
    View/Open
    NDN-Q_An_NDN_query_mechanism_for_efficient_V2X_data_collection.pdf (1.655Mb)
    Date
    2014-12-08
    Author
    Drira, Wassim
    Filali, Fethi
    Metadata
    Show full item record
    Abstract
    Collecting data from V2X networks is important to monitor, control and manage road traffic. However, efficient collection of the needed data is quite challenging due to vehicles mobility and the tremendous amount of events and data generated. Named Data Networking (NDN), a future internet architecture, gives more importance to content instead of its location. It has some inner capabilities of caching and multicast that can reduce traffic load in V2X networks and consequently decrease congestion risk. The communication in NDN is based on a request-response pattern where a consumer requests a specific content using its associated name. In this paper, an NDN query mechanism is proposed to use dynamic names to collect dynamic data built on the fly in one or many nodes. Then, it is merged and aggregated hop by hop to provide the response cooperatively to the consumer. Simulation results of data collection shows that the amount of traffic load can be considerably reduced and query response can be collected in only 280ms in a network composed of 60 vehicles.
    URI
    https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84920520166&origin=inward
    DOI/handle
    http://dx.doi.org/10.1109/SECONW.2014.6979698
    http://hdl.handle.net/10576/68021
    Collections
    • QMIC Research [‎307‎ 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
    Contact Us | 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 policies

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

    Contact Us
    Contact Us | QU

     

     

    Video