IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v12y2016i4p7635206.html
   My bibliography  Save this article

Belief Propagation-Based Cognitive Routing in Maritime Ad Hoc Networks

Author

Listed:
  • Huma Ghafoor
  • Youngtae Noh
  • Insoo Koo

Abstract

Cognitive routing for maritime wireless ad hoc networks is proposed in this paper to find a stable path between source and destination. This is ship-to-ship communication where two ships can communicate when they not only have consensus on a common idle channel but also are in the transmission range of each other. We apply belief propagation algorithm for collaborative spectrum sensing. Every user (ship) exchanges its local decisions with its neighbors to compute the final belief about the state of the channel. These beliefs are applied for estimating the link duration for total number of hops between source and destination. Then, a path is selected which maximizes the path duration among all the paths in the network to reach the destination. We apply both flood-based and geographical routing protocols to find a route between source and destination for different scenarios. We simulate our scheme for different ocean settings and evaluate path durations for different number of ships. The results report a significant increase in path duration as the number of nodes increases in the network. In addition, we verify that path duration increases with an increase in probability of primary user being idle via extensive simulations. Hence, our scheme provides stable path selection for communication among users onboard.

Suggested Citation

  • Huma Ghafoor & Youngtae Noh & Insoo Koo, 2016. "Belief Propagation-Based Cognitive Routing in Maritime Ad Hoc Networks," International Journal of Distributed Sensor Networks, , vol. 12(4), pages 7635206-763, April.
  • Handle: RePEc:sae:intdis:v:12:y:2016:i:4:p:7635206
    DOI: 10.1155/2016/7635206
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2016/7635206
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2016/7635206?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:12:y:2016:i:4:p:7635206. 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.