IDEAS home Printed from https://ideas.repec.org/a/caa/jnljfs/v66y2020i3id151-2019-jfs.html
   My bibliography  Save this article

Preventing forest fires using a wireless sensor network

Author

Listed:
  • Ligong Pan

Abstract

Forest fire is a natural phenomenon in many ecosystems across the world. The forecasting of fire danger conditions resembles one of the most important parts in forest fire management. A ZigBee-based wireless sensor network was proposed for monitoring fire danger and predicting the behaviour of fire after occurrence. This technique is intended for real-time operation, given the urgent need for forest protection against fires. The architecture of a wireless sensor network for forest fire detection is described. From the information collected by the system, decisions on firefighting or fire prevention can be made more quickly by the relevant government departments. We believe that by making the sensor network able to reconfigure rapidly in response to changes in the local conditions upon which the network is dependent, we will generate an adaptable weather monitoring and fire detection system.

Suggested Citation

  • Ligong Pan, 2020. "Preventing forest fires using a wireless sensor network," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 66(3), pages 97-104.
  • Handle: RePEc:caa:jnljfs:v:66:y:2020:i:3:id:151-2019-jfs
    DOI: 10.17221/151/2019-JFS
    as

    Download full text from publisher

    File URL: http://jfs.agriculturejournals.cz/doi/10.17221/151/2019-JFS.html
    Download Restriction: free of charge

    File URL: http://jfs.agriculturejournals.cz/doi/10.17221/151/2019-JFS.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.17221/151/2019-JFS?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:caa:jnljfs:v:66:y:2020:i:3:id:151-2019-jfs. 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: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .

    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.