| Peer-Reviewed

An Area Localization Algorithm Using RFID

Received: 23 September 2015     Accepted: 9 October 2015     Published: 3 November 2015
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Abstract

There is a growing interest in the research of localization system based on radio frequency identification (RFID) technology. In some application scenarios, such as smart shelves, tend to have the demand for the exact location of the target object like books. Existing RFID localization algorithm usually assumes that the application environment is indoor, which couldn’t locate the target in a small enough space. Different from the localization system which gives the specific coordinates of the tracking tag like LANDMARC, this paper present an area localization algorithm, ALLGET. Based on grouping of reference tags, ALLGET locate the tracking tag into a small area. Our experimental results show that ALLGET can get a better accuracy than LANDMARC in the same condition.

Published in Internet of Things and Cloud Computing (Volume 3, Issue 4)
DOI 10.11648/j.iotcc.20150304.11
Page(s) 82-87
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

RFID, Area Localization, ALLGET, LANDMARC

References
[1] Ni L M. Liu Y. Lau Y C. et al. “LANDMARC: indoor location sensing using active RFID”. In Proceedings of the first IEEE International Conference on Pervasive Computing and Communications (Per Com 2003). Texas, 2003: 407-415.
[2] Khan M A, Antiwal V K. “Location Estimation Technique using Extended 3-D LANDMARC Algorithm for Passive RFID Tag”. In Proceedings of IEEE Advance Computing Conference. Patiala, 2009: 249-253.
[3] V. Chandrasekhar and W. Seah. “An area localization scheme for underwater sensor networks”. In Proc. Of the IEEE OCEANS Asia Pacific Conference, Singapore, 2006.
[4] P. Bahl and V. N. Padmanabhan, “RADAR: An Inbuilding RF-based User Location and Tracking System”, Proceedings of IEEE INFOCOM 2000, Tel-Aviv, Israel (March 2000).
[5] Nissanka B. Priyantha, Anit Chakraborty, and Hari Balakrishnan. “The cricket location-support system”. In Proceedings of MOBICOM 2000, pages32-43, Boston, MA, August 2000. ACM, ACM Press.
[6] Jeffrey Hightower, Chris Vakili, Caetano Borriello, and Roy Want, “Design and Calibration of the Spot ON AD-Hoc Location Sensing System”, UWCSE 00-02-02, University of Washington, Department of Computer Science and Engineering, Seattle.
[7] Theodore S Rappaport. “Wireless Communications Principles and Practices”. Second Edition Publishing House of Electronics Industry, 2004. 161.
[8] C. R. Medeiros, J. R. Costa and C. A. Fernandes. “RFID smart shelf with confined detection volume at UHF”, IEEE Antennas Wireless Propag. Lett., vol. 7, pp.773 -776 2008.
[9] Jeffrey Hightower and Gaetano Borriello, “A Survey and Taxonomy of Location Sensing Systems for Ubiquitous Computing,” CSE 01-08-03, University of Washington, Department of Computer Science and Engineering, Seattle, WA, Aug 2001
[10] Shuyuan Pan, Zhiying Yang. A Count Based Algorithm for Redundant Reader Elimination in RFID Application System, Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on , vol., no., pp.30,33, 16-18 Jan. 2013.
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  • APA Style

    Yaoqi Du, Zhiying Yang. (2015). An Area Localization Algorithm Using RFID. Internet of Things and Cloud Computing, 3(4), 82-87. https://doi.org/10.11648/j.iotcc.20150304.11

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    ACS Style

    Yaoqi Du; Zhiying Yang. An Area Localization Algorithm Using RFID. Internet Things Cloud Comput. 2015, 3(4), 82-87. doi: 10.11648/j.iotcc.20150304.11

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    AMA Style

    Yaoqi Du, Zhiying Yang. An Area Localization Algorithm Using RFID. Internet Things Cloud Comput. 2015;3(4):82-87. doi: 10.11648/j.iotcc.20150304.11

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  • @article{10.11648/j.iotcc.20150304.11,
      author = {Yaoqi Du and Zhiying Yang},
      title = {An Area Localization Algorithm Using RFID},
      journal = {Internet of Things and Cloud Computing},
      volume = {3},
      number = {4},
      pages = {82-87},
      doi = {10.11648/j.iotcc.20150304.11},
      url = {https://doi.org/10.11648/j.iotcc.20150304.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.iotcc.20150304.11},
      abstract = {There is a growing interest in the research of localization system based on radio frequency identification (RFID) technology. In some application scenarios, such as smart shelves, tend to have the demand for the exact location of the target object like books. Existing RFID localization algorithm usually assumes that the application environment is indoor, which couldn’t locate the target in a small enough space. Different from the localization system which gives the specific coordinates of the tracking tag like LANDMARC, this paper present an area localization algorithm, ALLGET. Based on grouping of reference tags, ALLGET locate the tracking tag into a small area. Our experimental results show that ALLGET can get a better accuracy than LANDMARC in the same condition.},
     year = {2015}
    }
    

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    AB  - There is a growing interest in the research of localization system based on radio frequency identification (RFID) technology. In some application scenarios, such as smart shelves, tend to have the demand for the exact location of the target object like books. Existing RFID localization algorithm usually assumes that the application environment is indoor, which couldn’t locate the target in a small enough space. Different from the localization system which gives the specific coordinates of the tracking tag like LANDMARC, this paper present an area localization algorithm, ALLGET. Based on grouping of reference tags, ALLGET locate the tracking tag into a small area. Our experimental results show that ALLGET can get a better accuracy than LANDMARC in the same condition.
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Author Information
  • Department of Computer Science & Technology, Shanghai Maritime University, Shanghai, China

  • Department of Computer Science & Technology, Shanghai Maritime University, Shanghai, China

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