Season: Shelving interference and joint identification in large-scale RFID systems

Lei Yang, Jinsong Han, Yong Qi, Cheng Wang, Tao Gu, Yunhao Liu

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

96 Citations (Scopus)


Prior work on anti-collision for Radio Frequency IDentification (RFID) systems usually schedule adjacent readers to exclusively interrogate tags for avoiding reader collisions. Although such a pattern can effectively deal with collisions, the lack of readers' collaboration wastes numerous time on the scheduling process and dramatically degrades the throughput of identification. Even worse, the tags within the overlapped interrogation regions of adjacent readers (termed as contentious tags), even if the number of such tags is very small, introduce a significant delay to the identification process. In this paper, we propose a new strategy for collision resolution. First, we shelve the collisions and identify the tags that do not involve reader collisions. Second, we perform a joint identification, in which adjacent readers collaboratively identify the contentious tags. In particular, we find that neighboring readers can cause a new type of collisions, cross-tag-collision, which may impede the joint identification. We propose a protocol stack, named Season, to undertake the tasks in two phases and solve the cross-tag-collision. We conduct extensive simulations and preliminary implementation to demonstrate the efficiency of our scheme. The results show that our scheme can achieve above 6 times improvement on the identification throughput in a large-scale dense reader environment.
Original languageEnglish
Title of host publication2011 Proceedings IEEE INFOCOM
Number of pages9
Publication statusPublished - 2 Aug 2011
Externally publishedYes
EventIEEE INFOCOM 2011 - Shanghai, China
Duration: 10 Apr 201115 Apr 2011


ConferenceIEEE INFOCOM 2011


  • Reader Collision
  • RFID
  • Season
  • Tag Collision

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering


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