Title | ||
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LDFSA: a learning-based dynamic framed slotted ALOHA for collision arbitration in active RFID systems |
Abstract | ||
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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. |
Year | DOI | Venue |
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2007 | 10.1007/978-3-540-72360-8_55 | GPC |
Keywords | Field | DocType |
learning-based dynamic,active rfid system,collision arbitration,critical issue,slotted aloha,aloha algorithm,active rfid tag,conventional algorithm,proposed ldfsa algorithm,essential problem,performance evaluation,better performance,internal standard,rfid tag | Software deployment,Aloha,Computer science,Computer network,Collision,International standard,Arbitration,Distributed computing | Conference |
Volume | ISSN | Citations |
4459 | 0302-9743 | 4 |
PageRank | References | Authors |
0.40 | 5 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hyuntae Cho | 1 | 88 | 14.10 |
Woonghyun Lee | 2 | 14 | 1.51 |
Yunju Baek | 3 | 156 | 23.54 |