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An Enhanced Dynamic Framed Slotted ALOHA Anti-collision Algorithm.

Authors :
Xiaobo Zhou
Sokolsky, Oleg
Lu Yan
Eun-Sun Jung
Zili Shao
Yi Mu
Dong Chun Lee
Daeyoung Kim
Young-Sik Jeong
Cheng-Zhong Xu
Su-Ryun Lee
Chae-Woo Lee
Source :
Emerging Directions in Embedded & Ubiquitous Computing; 2006, p403-412, 10p
Publication Year :
2006

Abstract

In RFID system, one of the problems that we must solve is the collision between tags that may occur when a reader attempts to read a number of tags simultaneously. Most of the popular anti-collision algorithms are based on the ALOHA-type algorithm, which are simple and show good performance when the number of tags to read is small. However, for ALOHA-type algorithms the time required to read the tags generally increases exponentially as the number of tag increases. Thus, they are not very efficient when the number of tags to read is large. In the paper, we propose a new anti-collision algorithm called Enhanced Dynamic Framed Slotted ALOHA (EDFSA) in which the time required to read the tags increases linearly with the number of tags. The proposed algorithm estimates the number of unread tags first and adjusts the number of responding tags or the frame size to give the optimal system efficiency. Simulation results show that the proposed algorithm improves the reading rate of data of the tags by 85~100% compared to the conventional algorithms. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540368502
Database :
Complementary Index
Journal :
Emerging Directions in Embedded & Ubiquitous Computing
Publication Type :
Book
Accession number :
32717443
Full Text :
https://doi.org/10.1007/11807964_41