• DocumentCode
    2860057
  • Title

    A low-power wireless remote sensor node design based on GPRS

  • Author

    Duan, Shihong ; Yu, Yanwei ; Wan, Yadong ; Wang, Qin

  • Author_Institution
    Inf. Eng. Sch., Univ. of Sci. & Technol. Beijing, Beijing, China
  • Volume
    12
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    For the limitation of transmission distance and power volume of sensor node, a low-power remote data acquisition node which implements long-distance data transmission by combining General Packet Radio Service network with wireless sensor network is designed to acquire data periodically and upload data to remote server through General Packet Radio Service network. This paper expatiate hardware design principles of the node, power management model and software protocol design of the test system. Test results show that nodes can reliably acquire and upload data, the average work current of sensor node is 34mA, the peak current of cluster-head is 260mA when cluster-head uploads data to server, and sleep mode current are both less than 35uA. Performance indicators of node can fulfill the needs of remote monitoring applications in industrial field.
  • Keywords
    computerised instrumentation; packet radio networks; protocols; wireless sensor networks; GPRS; current 260 mA; current 34 mA; general packet radio service network; industrial field; long distance data transmission; low power remote data acquisition node; power management model; remote server; software protocol; transmission distance; wireless remote sensor node; wireless sensor network; Data acquisition; Ground penetrating radar; Monitoring; Radio frequency; Servers; Synchronization; Wireless sensor networks; GPRS; data acquisition; low-power; time synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5622365
  • Filename
    5622365