Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1109/LCOMM.2013.051313.130068 | IEEE Communications Magazine |
Keywords | Field | DocType |
radiofrequency identification tags,rfid tag grouping,ldpc codes,pseudorandom nature,random number generation,gallager low-density parity-check codes,grouping of radio-frequency identification (rfid) tags,ssf,radiofrequency identification,missing-object identification,strongly selective families (ssfs),missing objects,strongly selective family,parity check codes,decoding,integrity,encoding,rfid tags | Low-density parity-check code,Computer science,Theoretical computer science,Decoding methods,Random number generation | Journal |
Volume | Issue | ISSN |
17 | 6 | 1089-7798 |
Citations | PageRank | References |
7 | 0.59 | 5 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
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Yi-Sheng Su | 1 | 48 | 8.42 |
Jiun-Ren Lin | 2 | 50 | 4.54 |
Ozan K. Tonguz | 3 | 1641 | 119.26 |