Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

OFSA: Optimum Frame-Slotted Aloha for RFID Tag Collision Arbitration

Authors
Lee, DonghwanChoi, JihoonLee, Wonjun
Issue Date
29-Nov-2011
Publisher
KSII-KOR SOC INTERNET INFORMATION
Keywords
Collision resolution; RFID; frame-slotted Aloha; tag anti-collision; tag identification
Citation
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, v.5, no.11, pp.1929 - 1945
Indexed
SCIE
SCOPUS
KCI
OTHER
Journal Title
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
Volume
5
Number
11
Start Page
1929
End Page
1945
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/111121
DOI
10.3837/tiis.2011.11.003
ISSN
1976-7277
Abstract
RFID technologies have attracted a lot of attention in recent years because of their cost/time-effectiveness in large-scale logistics, supply chain management (SCM) and other various potential applications. One of the most important issues of the RFID-based systems is how quickly tags can be identified. Tag collision arbitration plays a more critical role in determining the system performance especially for passive tag-based ones where tag collisions are dealt with rather than prevented. We present a novel tag collision arbitration protocol called Optimum Frame-Slotted Aloha (OFSA). The protocol has been designed to achieve time-optimal efficiency in tag identification through an analytic study of tag identification delay and tag number estimation. Results from our analysis and extensive simulations demonstrate that OFSA outperforms other collision arbitration protocols. Also, unlike most prior anti-collision protocols, it does not require any modification to the current standards and architectures facilitating the rollout of RFID systems.
Files in This Item
There are no files associated with this item.
Appears in
Collections
School of Cyber Security > Department of Information Security > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Won jun photo

Lee, Won jun
Department of Information Security
Read more

Altmetrics

Total Views & Downloads

BROWSE