IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v10y2014i8p154193.html
   My bibliography  Save this article

Cognitive Radio-Based Vehicular Ad Hoc and Sensor Networks

Author

Listed:
  • Mohammad Jalil Piran
  • Yongwoo Cho
  • Jihyeok Yun
  • Amjad Ali
  • Doug Young Suh

Abstract

Current advancements in vehicular networking lead to amplifying the issue of spectrum scarcity. Cognitive radio (CR) has emerged as the key technology that enables flexible, efficient, and reliable spectrum exploiting by unlicensed networks to use licensed spectrum bands in an opportunistic manner to alleviate the spectrum scarcity issue. We have already proposed vehicular ad hoc and sensor networks (VASNET) as a new networking paradigm for vehicular communication by utilizing wireless sensor nodes in two mobile and stationary modes. The nodes are employed to sense vehicles' activity, for example, car crashes. Like other unlicensed networks, VASNET is supposed to operate over unlicensed spectrum bands. However, due to emergency nature of accident alarms in VASNET that must be received in minimum period of time and avoiding packet loss, in this paper we investigate CR-based VASNET, named as CR-VASNET. Various challenges and issues are discussed in details. In order to save stationary nodes' power and enlarge the network lifetime, an optimization technique for relay node selection is proposed. Furthermore, for primary users (PU) protection, an energy detection-based scheme is suggested to calculate the probability of PU arrival. Our theoretical discussions and simulation results proved the efficient functionality of the proposed CR-VASNET as a promising vehicular networking paradigm.

Suggested Citation

  • Mohammad Jalil Piran & Yongwoo Cho & Jihyeok Yun & Amjad Ali & Doug Young Suh, 2014. "Cognitive Radio-Based Vehicular Ad Hoc and Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 10(8), pages 154193-1541, August.
  • Handle: RePEc:sae:intdis:v:10:y:2014:i:8:p:154193
    DOI: 10.1155/2014/154193
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2014/154193
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/154193?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
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:10:y:2014:i:8:p:154193. 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.