An efficient framed-slotted ALOHA algorithm with pilot frame and binary selection for anti-collision of RFID tags

Jun Bong Eom, Tae Jin Lee, Ronald Rietman, Aylin Yener

    Research output: Contribution to journalArticlepeer-review

    58 Scopus citations

    Abstract

    Reducing the number of tag collisions is one of the most important issues in RFID systems, as collisions induce inefficiency. This paper presents a mechanism of grouping of tags via a bit mask, quick tag estimation by a pilot frame and near optimal binary tree-based collision resolution with a frame. Performance analysis and simulation results show that the proposed anti-collision algorithm consumes fewer time slots as compared to previous work, and approaches to the case with the optimal frame size using binary tree collision resolution.

    Original languageEnglish (US)
    Pages (from-to)861-863
    Number of pages3
    JournalIEEE Communications Letters
    Volume12
    Issue number11
    DOIs
    StatePublished - Dec 29 2008

    All Science Journal Classification (ASJC) codes

    • Modeling and Simulation
    • Computer Science Applications
    • Electrical and Electronic Engineering

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