IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v12y2016i7p1550147716659426.html
   My bibliography  Save this article

Analytical model for predictable contact in intermittently connected cognitive radio ad hoc networks

Author

Listed:
  • Long Zhang
  • Fan Zhuo
  • Chunhong Bai
  • Haitao Xu

Abstract

In this article, an analytical model for predictable contact between two cognitive users in the intermittently connected cognitive radio ad hoc networks is proposed. The salient feature of the model is that it establishes a relationship between contact availability and the intermittently connected cognitive radio ad hoc network design parameters including cognitive user transmission range, velocity of cognitive user, direction of cognitive user, velocity of primary user, direction of primary user, and interference radius of primary user. However, a detailed analytical model is not available in the literature up to now. In particular, the relationship between contact availability and interference radius of primary user has not been derived in previous models. To research the contact availability, the concept of contact degree is first proposed to quantify the probability of contact availability between two cognitive users. In addition, the formulation for the contact degree between two cognitive users from different cases is illustrated in detail in this article. Under the contact degree scenario, the continuous effective contact time is derived to examine the communication duration of cognitive users based on the modified random walk mobility model. Finally, the simulation results demonstrate the effectiveness of the proposed analytical model for predictable contact in the intermittently connected cognitive radio ad hoc networks.

Suggested Citation

  • Long Zhang & Fan Zhuo & Chunhong Bai & Haitao Xu, 2016. "Analytical model for predictable contact in intermittently connected cognitive radio ad hoc networks," International Journal of Distributed Sensor Networks, , vol. 12(7), pages 15501477166, July.
    • Handle: RePEc:sae:intdis:v:12:y:2016:i:7:p:1550147716659426
    DOI: 10.1177/1550147716659426
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147716659426
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1550147716659426?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:12:y:2016:i:7:p:1550147716659426. 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.