IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v15y2019i4p1550147719842137.html
   My bibliography  Save this article

Instantly decodable network coding–assisted data dissemination for prioritized services in vehicular ad hoc networks

Author

Listed:
  • Shujuan Wang
  • Shuguang Lu
  • Qian Zhang

Abstract

Safety-related and user-related applications are two main kinds of services provided in vehicular ad hoc networks. Safety-related applications have great impact on vehicles and people who participate in the transportation. The quality requirements for safety data dissemination are strictly high, since this kind of service is usually concerned with the most important safety events in vehicular ad hoc networks. Meanwhile, user-related applications need to fulfill the varied demands for value-added services of consumers in vehicular ad hoc networks to retain existing consumers and to attract new ones. However, the unpleasant transmission environment of vehicular ad hoc networks, such as drastically changing network topology and unstable communication links, degrades the system performance and hinders the development of vehicular ad hoc networks. To tackle these issues, this article proposes a novel algorithm which prioritizes data based on their service purposes and schedules the most rewarding data item based on utility values calculated with multiple parameters, including data requirements of vehicles, vehicles density, speeds, and locations. Moreover, the algorithm applies instantly decodable network coding technique on the scheduled data to maximize the multicast throughput. Simulation results approve the performance advancement of the proposed algorithm in download delay, deadline miss ratio, and download success ratio for high- and low-priority data disseminations.

Suggested Citation

  • Shujuan Wang & Shuguang Lu & Qian Zhang, 2019. "Instantly decodable network coding–assisted data dissemination for prioritized services in vehicular ad hoc networks," International Journal of Distributed Sensor Networks, , vol. 15(4), pages 15501477198, April.
  • Handle: RePEc:sae:intdis:v:15:y:2019:i:4:p:1550147719842137
    DOI: 10.1177/1550147719842137
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147719842137
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1550147719842137?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:15:y:2019:i:4:p:1550147719842137. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.