DocumentCode :
67444
Title :
Grouping of RFID Tags via Strongly Selective Families
Author :
Yi-Sheng Su ; Jiun-Ren Lin ; Tonguz, Ozan
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Chang Jung Christian Univ., Tainan, Taiwan
Volume :
17
Issue :
6
fYear :
2013
fDate :
Jun-13
Firstpage :
1120
Lastpage :
1123
Abstract :
This letter proposes a novel scheme for grouping of radio-frequency identification (RFID) tags, based on strongly selective families (SSFs). Grouping of RFID tags allows verifying the integrity of groups of objects without external systems such as databases or verifiers, and can be extended to identify missing objects. The existing scheme is based on Gallager´s low-density parity-check (LDPC) codes and, as such, it cannot easily achieve designated decoding guarantees due to its pseudo-random nature. Motivated by the strongly selective property of SSFs, this study proposes grouping of RFID tags via SSFs, such that designated decoding guarantees are more easily achieved. Simulation and theoretical results are presented, demonstrating that the proposed scheme can greatly improve the performance of the existing one.
Keywords :
decoding; parity check codes; radiofrequency identification; random number generation; Gallager low-density parity-check codes; LDPC codes; RFID tag grouping; SSF; decoding; missing objects; pseudorandom nature; radiofrequency identification tags; strongly selective family; Arrays; Decoding; Encoding; Error analysis; Parity check codes; RFID tags; Grouping of radio-frequency identification (RFID) tags; integrity; missing-object identification; strongly selective families (SSFs);
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2013.051313.130068
Filename :
6517352
Link To Document :
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