IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v10y2014i3p518439.html
   My bibliography  Save this article

DCEP: Data Collection Strategy with the Estimated Paths in Ocean Delay Tolerant Network

Author

Listed:
  • Chao Liu
  • Zhongwen Guo
  • Feng Hong
  • Kaishun Wu

Abstract

Data collection is an important procedure of ocean monitoring systems. Due to limited bandwidth and extreme high cost of satellite communication, the majority of data is unable to transmit via satellites. For the moment, there are no efficient data collection methods provided for data collection in underwater sensor networks. After collecting and analyzing GPS data of 40 ships for two months, we find the mobility pattern of ships. On the basis of the mobility pattern, we propose a new data collection strategy for underwater sensor networks through delay tolerant routing. Through simulations and real data analysis, we provide quantitative analysis of the proposed strategy, such as data collection ratio, complexity of the algorithm and energy consumption. Especially, the data collection ratio on real data analysis could reach 95%–100% in acceptable time, which is 30% more than the radio of the strategy that data stored as they come.

Suggested Citation

  • Chao Liu & Zhongwen Guo & Feng Hong & Kaishun Wu, 2014. "DCEP: Data Collection Strategy with the Estimated Paths in Ocean Delay Tolerant Network," International Journal of Distributed Sensor Networks, , vol. 10(3), pages 518439-5184, March.
  • Handle: RePEc:sae:intdis:v:10:y:2014:i:3:p:518439
    DOI: 10.1155/2014/518439
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2014/518439
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/518439?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:3:p:518439. 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.