IEICE Transactions on Communications
Online ISSN : 1745-1345
Print ISSN : 0916-8516
Regular Section
Q-Value Fine-Grained Adjustment Based RFID Anti-Collision Algorithm
Jian SUXuefeng ZHAODanfeng HONGZhongqiang LUOHaipeng CHEN
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2016 Volume E99.B Issue 7 Pages 1593-1598

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Abstract

Fast identification is an urgent demand for modern RFID systems. In this paper, we propose a novel algorithm, access probability adjustment based fine-grained Q-algorithm (APAFQ), to enhance the efficiency of RFID identification with low computation overhead. Specifically, instead of estimation accuracy, the target of most proposed anti-collision algorithms, the APAFQ scheme is driven by updating Q value with two different weights, slot by slot. To achieve higher identification efficiency, the reader adopts fine-grained access probability during the identification process. Moreover, based on the responses from tags, APAFQ adjusts the access probability adaptively. Simulations show the superiority of APAFQ over existing Aloha-based algorithms.

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© 2016 The Institute of Electronics, Information and Communication Engineers
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