research-article

Continuous scanning with mobile reader in RFID systems: an experimental study

Authors:

Daoxu ChenAuthors Info & Claims

MobiHoc '13: Proceedings of the fourteenth ACM international symposium on Mobile ad hoc networking and computing

Pages 11 - 20

https://doi.org/10.1145/2491288.2491290

Published: 29 July 2013 Publication History

Abstract

In this paper, we show the first comprehensive experimental study on mobile RFID reading performance based on a relatively large number of tags. By making a number of observations regarding the tag reading performance, we build a model to depict how various parameters affect the reading performance. Through our model, we have designed very efficient algorithms to maximize the time-efficiency and energy-efficiency by adjusting the reader's power and moving speed. Our experiments show that our algorithms can reduce the total scanning time by 50\% and the total energy consumption by 83\% compared to the prior solutions.

References

[1]

S. R. Aroor and D. D. Deavours. Evaluation of the state of passive uhf rfid: An experimental approach. IEEE Systems Journal, 1(2):168--176, 2007.

[2]

D. Benedetti, G. Maselli, and C. Petrioli. Fast identification of mobile rfid tags. In Proc. of IEEE MASS, 2012.

Digital Library

[3]

K. Bu, B. Xiao, Q. Xiao, and S. Chen. Efficient misplaced-tag pinpointing in large rfid systems. IEEE Transactions on Parallel and Distributed Systems, 23(11):2094--2106, 2012.

Digital Library

[4]

M. Buettner and D. Wetherall. An empirical study of uhf rfid performance. In Proc. of MobiCom, 2008.

Digital Library

[5]

S. Chen, M. Zhang, and B. Xiao. Efficient information collection protocols for sensor-augmented rfid networks. In Proc. of INFOCOM, 2011.

[6]

H. Han, B. Sheng, C. C. Tan, Q. Li, W. Mao, and S. Lu. Counting rfid tags efficiently and anonymously. In Proc. of INFOCOM, 2010.

Digital Library

[7]

S. R. Jeffery, M. Garofalakis, and M. J. Franklin. Adaptive cleaning for rfid data streams. In Proc. of VLDB, 2006.

Digital Library

[8]

M. Kodialam and T. Nandagopal. Fast and reliable estimation schemes in rfid systems. In Proc. of ACM MobiCom, 2006.

Digital Library

[9]

S. Lee, S. Joo, and C. Lee. An enhanced dynamic framed slotted aloha algorithm for rfid tag identification. In Proc. of MobiQuitous, 2005.

Digital Library

[10]

T. Li, S. Chen, and Y. Ling. Identifying the missing tags in a large rfid system. In Proc. of ACM Mobihoc, 2010.

Digital Library

[11]

T. Li, S. Wu, S. Chen, and M. Yang. Energy efficient algorithms for the rfid estimation problem. In Proc. of INFOCOM, 2010.

Digital Library

[12]

J. Myung and W. Lee. Adaptive splitting protocols for rfid tag collision arbitration. In Proc. of ACM MobiHoc, 2006.

Digital Library

[13]

T. L. Porta, G. Maselli, and C. Petrioli. Anti-collision protocols for single-reader rfid systems: temporal analysis and optimization. IEEE Transactions on Mobile Computing, 10(2):267--279, 2011.

Digital Library

[14]

C. Qian, Y. Liu, H.-L. Ngan, and L. M. Ni. Asap: Scalable identification and counting for contactless rfid systems. In Proc. of ICDCS, 2010.

Digital Library

[15]

C. Qian, H.-L. Ngan, and Y. Liu. Cardinality estimation for large-scale rfid systems. In Proc. of PerCom, 2008.

Digital Library

[16]

B. Sheng, Q. Li, and W. Mao. Efficient continuous scanning in rfid systems. In Proc. of INFOCOM, 2010.

Digital Library

[17]

B. Sheng, C. C. Tan, Q. Li, and W. Mao. Finding popular categoried for RFID tags. In Proc. of ACM Mobihoc, 2008.

Digital Library

[18]

S. Tang, J. Yuan, X. Y. Li, G. Chen, Y. Liu, and J. Zhao. Raspberry: A stable reader activation scheduling protocol in multi-reader rfid systems. In Proc. of ICNP, 2009.

Digital Library

[19]

H. Vogt. Efficient object identification with passive rfid tags. In Proc. of Pervasive, 2002.

Digital Library

[20]

L. Xie, B. Sheng, C. C. Tan, H. Han, Q. Li, and D. Chen. Efficient tag identification in mobile rfid systems. In Proc. of INFOCOM, 2010.

Digital Library

[21]

L. Yang, J. Han, Y. Qi, C. Wang, T. Gu, and Y. Liu. Season: Shelving interference and joint identification in large-scale rfid systems. In Proc. of INFOCOM, 2011.

[22]

Y. Yin, L. Xie, S. Lu, and D. Chen. Efficient protocols for rule checking in rfid systems. In Proc. of ICCCN, 2013.

[23]

Y. Zheng and M. Li. Fast tag searching protocol for large-scale rfid systems. In Proc. of ICNP, 2011.

Digital Library

Cited By

Frahtia ABenssalah MKifouche ADrouiche K(2024)Improved tag estimation method for TDMA anticollision protocols using CA-CFAR techniqueFrequenz10.1515/freq-2024-0037Online publication date: 7-Jun-2024
https://doi.org/10.1515/freq-2024-0037
Su JSheng ZLiu AHan YChen Y(2022)Capture-Aware Identification of Mobile RFID Tags With Unreliable ChannelsIEEE Transactions on Mobile Computing10.1109/TMC.2020.302407621:4(1182-1195)Online publication date: 1-Apr-2022
https://doi.org/10.1109/TMC.2020.3024076
An ZLin QYang LLou WXie L(2020)Acquiring Bloom Filters Across Commercial RFIDs in Physical LayerIEEE/ACM Transactions on Networking10.1109/TNET.2020.2992851(1-14)Online publication date: 2020
https://doi.org/10.1109/TNET.2020.2992851
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Index Terms

Continuous scanning with mobile reader in RFID systems: an experimental study
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Published In

cover image ACM Conferences

MobiHoc '13: Proceedings of the fourteenth ACM international symposium on Mobile ad hoc networking and computing

July 2013

322 pages

ISBN:9781450321938

DOI:10.1145/2491288

General Chairs:
A. Chockalingam
IISc Bangalore
,
D. Manjunath
IIT Bombay
,
Program Chairs:
Massimo Franceschetti
University of California, San Diego
,
Leandros Tassiulas
University of Thessaly

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

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Published: 29 July 2013

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SIGMOBILE

MobiHoc '13: The Fourteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing

July 29 - August 1, 2013

Bangalore, India

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MobiHoc '13 Paper Acceptance Rate 42 of 234 submissions, 18%;

Overall Acceptance Rate 296 of 1,843 submissions, 16%

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Cited By

Frahtia ABenssalah MKifouche ADrouiche K(2024)Improved tag estimation method for TDMA anticollision protocols using CA-CFAR techniqueFrequenz10.1515/freq-2024-0037Online publication date: 7-Jun-2024
https://doi.org/10.1515/freq-2024-0037
Su JSheng ZLiu AHan YChen Y(2022)Capture-Aware Identification of Mobile RFID Tags With Unreliable ChannelsIEEE Transactions on Mobile Computing10.1109/TMC.2020.302407621:4(1182-1195)Online publication date: 1-Apr-2022
https://doi.org/10.1109/TMC.2020.3024076
An ZLin QYang LLou WXie L(2020)Acquiring Bloom Filters Across Commercial RFIDs in Physical LayerIEEE/ACM Transactions on Networking10.1109/TNET.2020.2992851(1-14)Online publication date: 2020
https://doi.org/10.1109/TNET.2020.2992851
Wang CXie LWang WChen YXue TLu S(2020)Probing into the Physical Layer: Moving Tag Detection for Large-Scale RFID SystemsIEEE Transactions on Mobile Computing10.1109/TMC.2019.290724419:5(1200-1215)Online publication date: 1-May-2020
https://doi.org/10.1109/TMC.2019.2907244
Lin QYang LDuan CAn Z(2019)TashIEEE/ACM Transactions on Networking (TON)10.1109/TNET.2019.289634827:2(819-834)Online publication date: 17-May-2019
https://dl.acm.org/doi/10.1109/TNET.2019.2896348
Xie LWang CBu YSun JCai QWu JLu S(2019)TaggedAR: An RFID-Based Approach for Recognition of Multiple Tagged Objects in Augmented Reality SystemsIEEE Transactions on Mobile Computing10.1109/TMC.2018.285781218:5(1188-1202)Online publication date: 1-May-2019
https://doi.org/10.1109/TMC.2018.2857812
Liu XYang QLuo JDing BZhang S(2019)An Energy-Aware Offloading Framework for Edge-Augmented Mobile RFID SystemsIEEE Internet of Things Journal10.1109/JIOT.2018.28812956:3(3994-4004)Online publication date: Jun-2019
https://doi.org/10.1109/JIOT.2018.2881295
An ZLin QYang LLou W(2019)Embracing Tag Collisions: Acquiring Bloom Filters across RFIDs in Physical LayerIEEE INFOCOM 2019 - IEEE Conference on Computer Communications10.1109/INFOCOM.2019.8737432(1531-1539)Online publication date: Apr-2019
https://doi.org/10.1109/INFOCOM.2019.8737432
Yang LLin QDuan CAn ZVan der Merwe KGreenstein BSrinivasan K(2017)Analog On-Tag HashingProceedings of the 23rd Annual International Conference on Mobile Computing and Networking10.1145/3117811.3117835(301-314)Online publication date: 4-Oct-2017
https://dl.acm.org/doi/10.1145/3117811.3117835
Wang JLiu B(2017)Online Fault-Tolerant Dynamic Event Region Detection in Sensor Networks via Trust Model2017 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC.2017.7925627(1-6)Online publication date: Mar-2017
https://doi.org/10.1109/WCNC.2017.7925627
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