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
Link To Document