Farooq, M.U. and Asif, M. and Nabi, S.W. and Qureshi, M.A. (2012) Optimal adjustment parameters for EPC global RFID anti-collision Q-algorithm in different traffic scenarios. In: UNSPECIFIED.
Full text not available from this repository.Abstract
A RFID system's front-end consists of multiple tags being identified by a single (or multiple) reader. In order for the reader to uniquely identify all tags within certain range, some sort of anticollision mechanism is required. ALOHA and its variations can be used in such a scenario. EPC Global, a standardizing body for RFID technology, has proposed a Dynamic Framed Slotted ALOHA mechanism for UHF passive tags (Gen 2, Class I), and a 'Q' algorithm is used to dynamically update the size of the frame, where the size changes exponentially. Two parameters that define this Q algorithm are the initial size of the frame and the speed of frame-size estimation. In this paper we present a complete RFID system simulator which can be used to investigate various algorithms in various scenarios, in context of UHF RFID systems, and then present our simulation setup, results and analysis where the throughput for different traffic scenarios is calculated. Based on the results the trend and the optimal values are discussed for the two parameters. These results can be used by an RFID system designer to choose the right initial parameters, based on an order-of-magnitude estimate of the traffic conditions. © 2012 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 18; Conference of 10th International Conference on Frontiers of Information Technology, FIT 2012 ; Conference Date: 17 December 2012 Through 19 December 2012; Conference Code:95697 |
Uncontrolled Keywords: | Adjustment parameter; Anticollision; Class I; Dynamic framed-slotted alohas; In contexts; Initial parameter; Optimal values; Passive tags; Q algorithms; RFID anti collisions; RFID systems; RFID Technology; Traffic conditions; Two parameter; UHF RFID, Advanced traffic management systems; Algorithms; Information technology, Parameter estimation |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:50 |
Last Modified: | 09 Nov 2023 15:50 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/2563 |