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LDFSA: A Learning-Based Dynamic Framed Slotted ALOHA for Collision Arbitration in Active RFID Systems.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Rangan, C. Pandu
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Cérin, Christophe
Kuan-Ching Li
Hyuntae Cho
Woonghyun Lee
Yunju Baek
Source :
Advances in Grid & Pervasive Computing (9783540723592); 2007, p655-665, 11p
Publication Year :
2007

Abstract

In recent large scale deployment of active RFID systems has been introduced by many applications, but a variety of critical issues remain unresolved. Especially, the impact of collision is the most essential problem. In this paper, we propose a Learning-based Dynamic Framed Slotted ALOHA algorithm (LDFSA) which mitigates collision from the active RFID tags and complies with international standard, ISO/IEC 18000-7. In addition, this paper includes the performance evaluations of the proposed LDFSA algorithm with the conventional algorithms. According to the result, the proposed LDFSA algorithm shows better performance than other conventional algorithms. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540723592
Database :
Supplemental Index
Journal :
Advances in Grid & Pervasive Computing (9783540723592)
Publication Type :
Book
Accession number :
33185547
Full Text :
https://doi.org/10.1007/978-3-540-72360-8_55