An accurate tag estimate method for improving the performance of an RFID anticollision algorithm based on dynamic frame length ALOHA

Wen-Tzu Chen

doi:10.1109/TASE.2008.917093

An accurate tag estimate method for improving the performance of an RFID anticollision algorithm based on dynamic frame length ALOHA

Wen-Tzu Chen

Institute of Telecommunications Management

Research output: Contribution to journal › Article › peer-review

207 Citations (Scopus)

Abstract

In a radio-frequency identification (RFID) system, the dynamic frame length ALOHA protocol is widely adopted to solve the anticollision problem. Analysis for the anticollision problem can be divided into two primary parts. The concern of the first part is how to precisely estimate the number of tags. The other part involves determination of dynamic frame length to achieve maximum throughput or channel usage efficiency. In this paper, we present an accurate method for estimating tag quantity. This method is based on the maximum a posteriori probability decision. We also derive the optimal frame length using radio channel efficiency. Simulation results indicate the tag estimate error of the proposed method is less than 4%. Use of our proposed tag estimate method together with optimal frame length can achieve close to the theoretical maximum throughput of the framed ALOHA algorithm.

Original language	English
Article number	4469201
Pages (from-to)	9-15
Number of pages	7
Journal	IEEE Transactions on Automation Science and Engineering
Volume	6
Issue number	1
DOIs	https://doi.org/10.1109/TASE.2008.917093
Publication status	Published - 2009 Jan 1

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Electrical and Electronic Engineering

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