IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v16y2020i9p1550147720958305.html
   My bibliography  Save this article

Adaptive hop-by-hop cone vector-based forwarding protocol for underwater wireless sensor networks

Author

Listed:
  • Imran Ullah Khan
  • Mazhar Islam
  • Muhammad Ismail
  • Abdul Baseer Qazi
  • Sadeeq Jan
  • Ihsan Ullah
  • Zahid Farid
  • Zahid Wadud

Abstract

In the recent past, a significant increase has been observed in the use of underwater wireless sensor networks for aquatic applications. However, underwater wireless sensor networks face several challenges including large propagation delays, high mobility, limited bandwidth, three-dimensional deployments, expensive manufacturing, and energy constraints. It is crucial for underwater wireless sensor networks to mitigate all these limitations primarily caused by the harsh underwater environment. To address some of the pertinent challenges, adaptive hop-by-hop cone vector-based forwarding routing protocol is proposed in this article which is based on the adaptive hop-by-hop vector-based forwarding. The novelty of adaptive hop-by-hop cone vector-based forwarding includes increasing the transmission reliability in sparse sensor regions by changing the base angle of the cone according to the network structure. The number of duplicate packets and end-to-end delay is also reduced because of the reduced base angle and a smart selection criterion for the potential forwarder node. The proposed routing protocol adaptively tunes the height and opening of the cone based on the network structure to effectively improve the performance of the network. Conclusively, this approach significantly reduces energy tax, end-to-end delay, and packet delivery ratio.

Suggested Citation

  • Imran Ullah Khan & Mazhar Islam & Muhammad Ismail & Abdul Baseer Qazi & Sadeeq Jan & Ihsan Ullah & Zahid Farid & Zahid Wadud, 2020. "Adaptive hop-by-hop cone vector-based forwarding protocol for underwater wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 16(9), pages 15501477209, September.
  • Handle: RePEc:sae:intdis:v:16:y:2020:i:9:p:1550147720958305
    DOI: 10.1177/1550147720958305
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147720958305
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1550147720958305?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:16:y:2020:i:9:p:1550147720958305. 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.