Title :
OTrack: Towards Order Tracking for Tags in Mobile RFID Systems
Author :
Longfei Shangguan ; Zhenjiang Li ; Zheng Yang ; Mo Li ; Yunhao Liu ; Jinsong Han
Author_Institution :
Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
Abstract :
In many logistics applications of RFID technology, luggage attached with tags are placed on moving conveyor belts for processing. It is important to figure out the order of goods on the belts so that further actions like sorting can be accurately taken on proper goods. Due to arbitrary goods placement or the irregularity of wireless signal propagation, neither of the order of tag identification nor the received signal strength provides sufficient evidence on their relative positions on the belts. In this study, we observe, from experiments, a critical region of reading rate when a tag gets close enough to a reader. This phenomenon, as well as other signal attributes, yields the stable indication of tag order. We establish a probabilistic model for recognizing the transient critical region and propose the OTrack protocol to continuously monitor the order of tags. To validate the protocol, we evaluate the accuracy and effectiveness through a one-month experiment conducted through a working conveyor at Beijing Capital International Airport.
Keywords :
airports; belts; conveyors; goods distribution; logistics; mobile computing; probability; protocols; radiofrequency identification; Beijing Capital International Airport; OTrack protocol; RFID technology; arbitrary goods placement; critical reading rate region; logistics applications; mobile RFID systems; moving conveyor belts; order tracking; probabilistic model; radio frequency identification systems; received signal strength; signal attributes; tag identification; tag order stability indication; transient critical region recognition; wireless signal propagation irregularity; Airports; Belts; Market research; Mobile communication; Protocols; Radiofrequency identification; Sorting; Mobile RFID system; order tracking; probabilistic model;
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
DOI :
10.1109/TPDS.2013.247