• DocumentCode
    2735499
  • Title

    Multiparameter fire detection based on wireless sensor network

  • Author

    Liu Shixing ; Tu Defeng ; Zhang Yongming

  • Author_Institution
    Sch. of Electron. Sci.&Appl. Phys., Hefei Univ. of Technol., Hefei, China
  • Volume
    3
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    203
  • Lastpage
    206
  • Abstract
    Wireless fire detection nodes based on Wireless sensor network is designed which can detect temperature, humidity and smoke concentration. The ratio of fire misinformation is decreased with multiparameter coincidence technique. And a shortest path routing algorithm is proposed according to multi-hop transmission based on CSMA/CA principle. The sensor nodes can connect each other automatically and the sensor data can be transmitted within minimum hops, so a real-time fire monitoring system is built up. The result of experiment show: the maximum distance of single hop transmission is 100 m; the delay time of every hop within multi-hop communications is about 50 ms; the sensitivity of fire smoke reached to I level; the parameter of humidity is used to eliminate the distorted effect of water vapor.
  • Keywords
    carrier sense multiple access; fires; graph theory; wireless sensor networks; CSMA/CA principle; multihop communication; multihop transmission; multiparameter coincidence technique; multiparameter fire detection; real-time fire monitoring system; shortest path routing; single hop transmission; smoke concentration; wireless fire detection; wireless sensor network; Computerized monitoring; Fires; Humidity; Multiaccess communication; Real time systems; Routing; Sensor systems; Smoke detectors; Temperature sensors; Wireless sensor networks; Multi-hop routing algorithm; WSN node; Wireless sensor network; fire detection; multiparameter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358197
  • Filename
    5358197