Zhang, Lijuan and Xiang, Wei and Tang, Xiaohu (2014) An adaptive anti-collision protocol for large-scale RFID tag identification. IEEE Wireless Communications Letters, 3 (6). pp. 601-604. ISSN 2162-2337
Abstract
Tag collision presents a significant impact on RFID systems. In this letter, we propose an efficient tag anti-collision protocol termed the adaptive assigned tree slotted Aloha anti-collision (AdATSA) protocol. In this protocol, the binary grouping and adaptive recognition phases are employed to effectively estimate the tag number and promptly identify tags. Additionally, we further improve the system efficiency of AdATSA by investigating the influence factor between the frame length and the tag number. Through numerical results, we are able to obtain several values of the influence factor, which helps to achieve the optimal system efficiency for AdATSA. Both analytical and simulation results are presented to show that the highest system efficiency of AdATSA is 61.7%, outperforming the previous protocols.
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| Item Type: | Article (Commonwealth Reporting Category C) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Faculty/School / Institute/Centre: | Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -) |
| Faculty/School / Institute/Centre: | Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 -) |
| Date Deposited: | 13 Jan 2015 04:31 |
| Last Modified: | 06 Jul 2016 01:52 |
| Uncontrolled Keywords: | RFID; tag anti-collision; collision arbitration |
| Fields of Research (2008): | 09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing 08 Information and Computing Sciences > 0805 Distributed Computing > 080502 Mobile Technologies 10 Technology > 1005 Communications Technologies > 100510 Wireless Communications |
| Socio-Economic Objectives (2008): | B Economic Development > 89 Information and Communication Services > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services |
| Identification Number or DOI: | https://doi.org/10.1109/LWC.2014.2359461 |
| URI: | http://eprints.usq.edu.au/id/eprint/26506 |
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