DocumentCode :
2284001
Title :
Novel Anti-collision Algorithms for Fast Object Identification in RFID System
Author :
Cha, Jae-Ryong ; Kim, Jae-Hyun
Author_Institution :
Sch. of Electr. & Comput. Eng., Ajou Univ., Suwon
Volume :
2
fYear :
2005
fDate :
22-22 July 2005
Firstpage :
63
Lastpage :
67
Abstract :
We propose two ALOHA-based Dynamic Framed Slotted ALOHA algorithms (DFSA) using tag estimation method (TEM), which estimates the number of tags around the reader, and dynamic slot allocation (DSA), which dynamically allocates the frame size for the number of tags. We compare the performance of the proposed DFSA with the conventional Framed Slotted ALOHA algorithm (FSA) using simulation. According to the analysis, two proposed DFSA algorithms show better performance than FSA algorithm regardless of the number of tags
Keywords :
estimation theory; object recognition; radiofrequency identification; ALOHA-based Dynamic Framed Slotted ALOHA algorithms; DFSA algorithms; Dynamic Slot Allocation; FSA algorithm; RFID system; Tag Estimation Method; anticollision algorithms; object identification; Algorithm design and analysis; Binary trees; Computer vision; ISO standards; Manuals; Performance analysis; Protocols; Radio frequency; Radiofrequency identification; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Systems, 2005. Proceedings. 11th International Conference on
Conference_Location :
Fukuoka
ISSN :
1521-9097
Print_ISBN :
0-7695-2281-5
Type :
conf
DOI :
10.1109/ICPADS.2005.204
Filename :
1524254
Link To Document :
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