Category Information Collection in RFID Systems

Jia Liu, Shigang Chen, Bin Xiao, Yanyan Wang, Lijun Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

12 Citations (Scopus)


In RFID-enabled applications, when a tag is put into use and associated with a specific object, the category-related information (e.g., the brands of clothes) about this object might be preloaded into the tag's memory as required. Since such information reflects the category attributes, all tags in the same category carry the identical category information. To collect this information, we do not need to repeatedly interrogate each tag; one tag's response in a category is sufficient. In this paper, we investigate the new problem of category information collection in a multi-category RFID system, which is referred to as information sampling. We propose an efficient two-phase sampling protocol (TPS). By quickly zooming into a category and isolating a tag from this category, TPS is able to sample a category by broadcasting only 7.5-bit polling vector (very efficient when compared to the 96-bit tag ID). We theoretically analyze the protocol performance and discuss the optimal parameter settings that minimize the overall execution time. Extensive simulations show that TPS outperforms the benchmark, greatly improving the sampling performance.
Original languageEnglish
Title of host publicationProceedings - IEEE 37th International Conference on Distributed Computing Systems, ICDCS 2017
Number of pages6
ISBN (Electronic)9781538617915
Publication statusPublished - 13 Jul 2017
Event37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017 - J.W. Marriott Hotel, Atlanta, United States
Duration: 5 Jun 20178 Jun 2017


Conference37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications


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