• DocumentCode
    507158
  • Title

    Multi-label Detection Method in Warehousing Wireless Scanning System

  • Author

    Sufen, Yao ; Cheng, Zhu ; Fei, Lin

  • Author_Institution
    Inst. of Inf. Eng., Tianjin Univ. of Commerce, Tianjin, China
  • Volume
    1
  • fYear
    2009
  • fDate
    13-15 Nov. 2009
  • Firstpage
    574
  • Lastpage
    576
  • Abstract
    In view of logistics distribution digital management, construct a wireless sweeping system based on the Zigbee technology. The system scanned electronic tags by reader-writer which simultaneously reads many electronic tags. In RFID system, many labels simultaneously frequently maybe transmit data to a reader-writer. In order to avoid the collision of reader-writer read data, propose a multi-label collision detection algorithm applied in the RFID system. This algorithm stochastically hives coverage area´s electronic tag off. In the group, collision detection and label´s arbitration were realized. Compared with existing stochastically traffic algorithm and binary tree algorithm, this algorithm not only effectively reduced collision number of times, but also simple the electric circuit. Raised system´s recognition speed and the reliability by conflict processing wireless sweeping system, and it provided a new recognition processing method for logistics distribution digital management.
  • Keywords
    logistics; radiofrequency identification; warehouse automation; warehousing; RFID system; Zigbee technology; logistics distribution digital management; multi-label collision detection algorithm; multilabel detection method; warehousing wireless scanning system; wireless sweeping system; Binary trees; Circuits; Detection algorithms; Logistics; RFID tags; Radiofrequency identification; Road accidents; Technology management; Warehousing; ZigBee; RFID; collision detection; logistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Technology and Development, 2009. ICCTD '09. International Conference on
  • Conference_Location
    Kota Kinabalu
  • Print_ISBN
    978-0-7695-3892-1
  • Type

    conf

  • DOI
    10.1109/ICCTD.2009.38
  • Filename
    5359738