Abstract
Recently RFID systems have become a very attractive solution for a supply chain and distribution industry to trace a position or delivery status of goods. RFID has many advantages over barcode and vision recognition systems, but there are still many problems to be solved. One of the important issues is channel efficiency. To get higher efficiency, a reader uses an anti-collision algorithm. In this paper, we characterize a set of anti-collision algorithms based on a framed slotted ALOHA protocol when using EPC-C1 Gen2 protocol with different frame sizes. Additionally, we propose a simple and effective algorithm which called DDFSA. The proposed algorithm outperformed a conventional Dynamic Framed Slotted ALOHA with a threshold method by 14.6% on average. We also explain why Gen2 has a good channel efficiency in bad environment.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 523-532 |
| Number of pages | 10 |
| Volume | 5200 LNCS |
| DOIs | |
| Publication status | Published - 2008 Dec 31 |
| Event | 21st International Conference on Information Networking, ICOIN 2007 - Estoril, Portugal Duration: 2007 Jan 23 → 2007 Jan 25 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 5200 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 21st International Conference on Information Networking, ICOIN 2007 |
|---|---|
| Country | Portugal |
| City | Estoril |
| Period | 07/1/23 → 07/1/25 |
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ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Performance study of anti-collision algorithms for EPC-C1 Gen2 RFID protocol. / Lee, Joon Goo; Hwang, Seok Joong; Kim, Seon Wook.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5200 LNCS 2008. p. 523-532 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5200 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Performance study of anti-collision algorithms for EPC-C1 Gen2 RFID protocol
AU - Lee, Joon Goo
AU - Hwang, Seok Joong
AU - Kim, Seon Wook
PY - 2008/12/31
Y1 - 2008/12/31
N2 - Recently RFID systems have become a very attractive solution for a supply chain and distribution industry to trace a position or delivery status of goods. RFID has many advantages over barcode and vision recognition systems, but there are still many problems to be solved. One of the important issues is channel efficiency. To get higher efficiency, a reader uses an anti-collision algorithm. In this paper, we characterize a set of anti-collision algorithms based on a framed slotted ALOHA protocol when using EPC-C1 Gen2 protocol with different frame sizes. Additionally, we propose a simple and effective algorithm which called DDFSA. The proposed algorithm outperformed a conventional Dynamic Framed Slotted ALOHA with a threshold method by 14.6% on average. We also explain why Gen2 has a good channel efficiency in bad environment.
AB - Recently RFID systems have become a very attractive solution for a supply chain and distribution industry to trace a position or delivery status of goods. RFID has many advantages over barcode and vision recognition systems, but there are still many problems to be solved. One of the important issues is channel efficiency. To get higher efficiency, a reader uses an anti-collision algorithm. In this paper, we characterize a set of anti-collision algorithms based on a framed slotted ALOHA protocol when using EPC-C1 Gen2 protocol with different frame sizes. Additionally, we propose a simple and effective algorithm which called DDFSA. The proposed algorithm outperformed a conventional Dynamic Framed Slotted ALOHA with a threshold method by 14.6% on average. We also explain why Gen2 has a good channel efficiency in bad environment.
UR - http://www.scopus.com/inward/record.url?scp=58049126130&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=58049126130&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-89524-4-52
DO - 10.1007/978-3-540-89524-4-52
M3 - Conference contribution
AN - SCOPUS:58049126130
SN - 354089523X
SN - 9783540895237
VL - 5200 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 523
EP - 532
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -