• DocumentCode
    3484957
  • Title

    Community Intrusion Detection and Pre-warning System Based on Wireless Mesh Network

  • Author

    Gao, Meijuan ; Tian, Jingwen ; Li, Kai ; Wu, Hao

  • Author_Institution
    Dept. of Autom. Control, Beijing Union Univ., Beijing
  • fYear
    2008
  • fDate
    21-24 Sept. 2008
  • Firstpage
    1066
  • Lastpage
    1070
  • Abstract
    A community intrusion detection and pre-warning system based on wireless mesh network is presented in this paper. This system is composed of ARM (advanced RISC Machines) data acquisition nodes, wireless mesh network and control centre. The flame, smog and infrared signal of human can be detected by ARM nodes, and video and audio signal is collected and transmitted to control centre by wireless mesh network when any of those situation happened. The control centre stores information to special area and gives alarm signal to monitors. The ARM data acquisition nodes use embedded system use its centre control unit and transmit signal by wireless transmission module which can connected to ARM9 and send video and audio signal. The system can establish network automatically by using the advantage of multi-hop communication of mesh network. Redundancy node can be placed on important area to make sure reliability and resist destroy.
  • Keywords
    computerised control; data acquisition; radio networks; reduced instruction set computing; safety systems; advanced RISC machines; community intrusion detection; control centre; data acquisition nodes; multi-hop communication; redundancy node; wireless mesh network; Automatic control; Control systems; Data acquisition; Embedded system; Fires; Humans; Infrared detectors; Intrusion detection; Reduced instruction set computing; Wireless mesh networks; community; intrusion detection; prewarning; wireless mesh network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Automation and Mechatronics, 2008 IEEE Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-1675-2
  • Electronic_ISBN
    978-1-4244-1676-9
  • Type

    conf

  • DOI
    10.1109/RAMECH.2008.4681478
  • Filename
    4681478