An Efficient Method for RFID’s Discrimination Stability

doi:10.13190/jbupt.201201.55.hugb

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2012, Vol. 35 ›› Issue (1): 55-58.doi: 10.13190/jbupt.201201.55.hugb

• Papers • Previous Articles Next Articles

An Efficient Method for RFID’s Discrimination Stability

HU Gui-bing,QIU Xue-song,MENG Luo-ming

State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2011-10-18 Revised:2011-10-24 Online:2012-02-28 Published:2012-01-05
Contact: Gui-Bing HU E-mail:hugb@bupt.edu.cn

Abstract

Abstract:

The false-positive problems frequently occurred in applications of radio frequency identification (RFID) because of environment complexities. An efficient method is proposed to improve the RFID’s discrimination based on stability of signal strength. It can eliminate the interference between transponders by comparing their signal strength. Experiments indicate that this method provides a good method to improve RFIDs discrimination.

Key words: Internet of things, radio frequency identification, recognition rate, passive transponder

CLC Number:

null

References

［1］邬贺铨. 物联网的应用与挑战综述［J］. 重庆邮电大学学报：自然科学版，2010，22（5）：526-531. Wu Hequan. Review on Internet of things: application and challenges［J］. Journal of Chongqing University of Posts and Telecommunications: Natural Science Edition, 2010, 22(5): 526-531. ［2］高瞻，胡向东. 基于CORBA的RFID仓储信息系统集成研究［J］. 重庆邮电大学学报：自然科学版，2010，22（4）： 464-467. Gao Zhan, Hu Xiangdong. Research on integration of RFID warehouse information system based on CORBA［J］.〖JP〗 Journal of Chongqing University of Posts and Telecommunications: Natural Science Edition, 2010, 22(4): 464-467. ［3］Tan C C, Sheng Bo, Li Qun. How to monitor for missing RFID tags［C］∥ Proceedings of IEEE ICDCS. Beijing：［s.n.］， 2008：295-302. ［4］Luo Wen, Chen Shigang, Li Tao, et al. Efficient missing tag detection in RFID systems［C］∥IEEE INFOCOM. Shanghai：［s.n.］, 2011：356-360. ［5］Sheng Bo, Li Qun, Mao Weizhen. Efficient continuous scanning in RFID systems［C］∥Proceedings of INFOCOM. Brazil：［s.n.］, 2009：1-9. ［6］Xie Lei, Sheng Bo, Tan C C, et al. Efficient tag identification in mobile RFID systems［C］∥Proceedings of INFOCOM. USA ：［s.n.］, 2009：1-9. ［7］Li Tao, Chen Shigang, Ling Yibei. Identifying the missing tags in a large RFID system［C］∥Procecdings of ACM Mobihoc. USA：［s.n.］, 2010：1-10. ［8］Sarangan V, Devarapalli M R, Radhakrishnan S. A framework for fast RFID tag reading in static and mobile environments［J］. The International Journal of Computer and Telecommunications Networking, 2008, 52(5)： 96-102. ［9］Sheng Bo, Tan C C, Li Qun, et al. Finding popular categories for RFID tags［C］∥Proceedings of MobiHoc. USA：［s.n.］, 2008： 15-20.

[1]	YU Xiaosong, ZHU Qingcheng, GU Jiaming, ZHAO Yongli, ZHANG Jie. Architecture and Resource Allocation of Cloud-Edge Collaboration Based Optical-Quantum Internet of Things [J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(3): 50-56.
[2]	WANG Hong-ming, YAO Yuan-yuan, Wei Xiang, LI Xue-hua. Performance Analysis of Narrowband Internet of Things Deployed in Poisson Cluster Process [J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(4): 109-114.
[3]	ZHA Yu-kun, ZHI Hui, FANG Xiao-tong. Blockchain-Based Cooperative Computing Scheme for IoT Intelligent Terminals [J]. Journal of Beijing University of Posts and Telecommunications, 2021, 44(2): 89-94.
[4]	HE Jian-hua, ZHAO Hui, XU Xiao-bin, YAN Lei, WANG Shang-guang. Data Collection Method of Space-Based Internet of Things Based on Improved Double Level Distributed LT Code [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(6): 118-125.
[5]	XV Ling-yi, HAN Dao-qi, LIU Wen. Anti-Collision Broadcasting Scheme Based on iBeacon in Internet of Things [J]. Journal of Beijing University of Posts and Telecommunications, 2020, 43(2): 66-73.
[6]	WANG Shuai. An Anti-Interference Algorithm for RFID Readers Based on Power Adjustment and Random Access Joint Optimization [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(4): 8-14.
[7]	XIAO Jian, LI Wen-jiang, GENG Hong-yang, ZHAI Ying-bo. An Anti-DoS Attack RFID Security Authentication Protocol in the Internet of Vehicles [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(2): 114-119.
[8]	YUAN Ze, LIU Liu, ZHANG Kun. Measurement and Modeling of Electromagnetic Noise in Industrial Environments [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2019, 42(1): 93-101.
[9]	WEN Xiang-ming, PAN Qi, LU Zhao-ming, JING Wen-peng, LI Lin-pei. Analysis of eMTC for 5G mMTC Scenarios [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(5): 13-19.
[10]	CHEN Wen-bai, CUI Xiao-li, HAO Cui, WANG Wen-kai. Hierarchical Invulnerability Topology Construction Method for IoT System [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2018, 41(5): 103-109,114.
[11]	YI Zhi-ling, CUI Chun-feng, HAN Shuang-feng, PAN Cheng-kang, CHEN Ya-mi. Analysis of Key Technologies of 5G-Oriented Cellular Internet of Things [J]. Journal of Beijing University of Posts and Telecommunications, 2018, 41(5): 20-25.
[12]	ZHOU Jing-xian, ZHOU Ya-jian, GU Zhao-jun. Constant-Time Lightweight RFID Mutual Authentication Protocol [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2016, 39(3): 60-63,90.
[13]	YUAN Kai-guo, HAO Yu-wen, LI Zheng-ping, ZHANG Di-di. A Hybrid Tag Number Estimation Scheme for Aloha Based Anti-Collision Algorithm in RFID Networks [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(s1): 72-76.
[14]	LI Jing-lin, LIU Zhi-han, YANG Fang-chun. Internet of Vehicles: The Framework and Key Technology [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(6): 95-100.
[15]	ZHAO Bin, HE Jing-sha, HUANG Na, QU Hui-fang, LIU Gong-zheng. An Anti-collision Algorithm Based on Flat-N-tree Search for RFID [J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(5): 50-55.

An Efficient Method for RFID’s Discrimination Stability

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments