IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v9y2013i9p306496.html
   My bibliography  Save this article

Fisher Information of Mine Collapse Hole Detection Based on Sensor Nodes Connectivity

Author

Listed:
  • Shengbo Hu
  • Heng Shu
  • Xiaowei Song

Abstract

It is very important to detect a collapse hole for coal mine workers. The possibility of detecting the collapse hole using WSN is presented because the tunnel in coal mine is narrow and has poor working condition. Comparing three types of the hole detection methods, it is seen that the connectivity-based methods are used to detect coal mine collapse better than other methods. By establishing a 2D model of the collapse hole in coal mine, a class of algorithms for detecting the collapse hole in coal mine is described. Based on log-normal shadowing channel model, the accuracy of detecting the collapse hole in coal mine using Fisher information is analyzed. Numerical calculation shows that connectivity-based localization schemes are better to detect collapse hole of coal mine.

Suggested Citation

  • Shengbo Hu & Heng Shu & Xiaowei Song, 2013. "Fisher Information of Mine Collapse Hole Detection Based on Sensor Nodes Connectivity," International Journal of Distributed Sensor Networks, , vol. 9(9), pages 306496-3064, September.
    • Handle: RePEc:sae:intdis:v:9:y:2013:i:9:p:306496
    DOI: 10.1155/2013/306496
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2013/306496
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/306496?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:9:y:2013:i:9:p:306496. 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.