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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2014 - 4

An Optimized Indoor RFID Positioning System Using 3D Mobility Pattern

REZA, A. W. See more information about REZA, A. W. on SCOPUS See more information about REZA, A. W. on IEEExplore See more information about REZA, A. W. on Web of Science, RUI, T. T. See more information about  RUI, T. T. on SCOPUS See more information about  RUI, T. T. on SCOPUS See more information about RUI, T. T. on Web of Science, KAUSAR, A. S. See more information about KAUSAR, A. S. on SCOPUS See more information about KAUSAR, A. S. on SCOPUS See more information about KAUSAR, A. S. on Web of Science
 
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Download PDF pdficon (1,714 KB) | Citation | Downloads: 780 | Views: 3,581

Author keywords
radio frequency identification, RFID tags

References keywords
rfid(12), localization(9), research(6), progress(6), electromagnetics(6), mobile(5), indoor(5), utilizing(4), tracking(4), robotics(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-05-31
Volume 14, Issue 2, Year 2014, On page(s): 23 - 28
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.02004
Web of Science Accession Number: 000340868100004
SCOPUS ID: 84901825025

Abstract
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Full text preview
Radio frequency identification (RFID) is the widely used identification system that uses radio frequency for the detection of object position. A new RFID technique for the localization of tags in a 3D space is presented in this study. According to this technique, the optimized number of mobile readers is needed to afford full coverage within a given period of time. The mobile readers are programmed in such a way that they move in a zigzag pattern for detecting the tags. The received signal strength (RSS) model is used for determining the tag positions. From the obtained results, it can be observed that the proposed model can achieve an average error distance as low as 0.27 m for a given scenario and if the obstacles are placed in the test environment, the average error distance has only increased to 0.38 m. In order to evaluate the accuracy of the proposed technique, a comparison between the existing and proposed model is presented.


References | Cited By  «-- Click to see who has cited this paper

[1] C. Xu, D. Schonfeld, A. A. Khokhar, "Localization and Trajectory Estimation of Mobile Objects Using Minimum Samples," IEEE Trans. on Vehicular Technology, vol. 58, no. 8, pp. 4439-4446, 2009.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 7]


[2] A. Tayebi, J. Gomez, F. M. Saez de Adana, O. Gutierrez, "The application of ray-tracing to mobile localization using the direction of arrival and received signal strength in multipath indoor environments," Progress In Electromagnetics Research, vol. 91, pp. 1-15, 2009.
[CrossRef]


[3] S. A. F. Rodriguez, V. Fremont, P. Bonnifait, V Cherfaoui, "An embedded multi-modal system for object localization and tracking," IEEE Intelligent Transportation Systems Magazine, vol. 4, no. 4, pp.42-53, 2012.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 14]


[4] A. Markham, N. Trigoni, D. W. Macdonald, S. A. Ellwood, "Underground Localization in 3-D Using Magneto-Inductive Tracking," IEEE Sensors Journal, vol. 12, no. 6, pp. 1809-1816, 2012.
[CrossRef] [Web of Science Times Cited 61] [SCOPUS Times Cited 76]


[5] J. H. Sung, K. Grauman, "Reading between the Lines: Object Localization Using Implicit Cues from Image Tags," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 6, pp. 1145-1158, 2012.
[CrossRef] [Web of Science Times Cited 63] [SCOPUS Times Cited 77]


[6] J. S. Choi, H. Lee, D. W. Engels, R. Elmasri, "Passive UHF RFID-Based Localization Using Detection of Tag Interference on Smart Shelf," IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, vol. 42, no. 2, pp. 268-275, 2012.
[CrossRef] [Web of Science Times Cited 42] [SCOPUS Times Cited 54]


[7] E. Bruns, O. Bimber, "Localization and Classification through Adaptive Pathway Analysis," IEEE Pervasive Computing, vol. 11, no. 2, pp. 74-81, 2012.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 5]


[8] S. Anusha, S. Iyer, "RFID cover: A coverage planning tool for RFID networks with mobile readers," Dissertation paper, Indian Institute of Technology, Bombay, India, 2005.

[9] A. W. Reza, T. K. Geok, "Investigation of Indoor Location Sensing via RFID Reader Network Utilizing Grid Covering Algorithm," Wireless Personal Communication, vol. 49, pp. 67-80, 2009.
[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 38]


[10] K. G. Tan, A. W. Reza, C. P. Tan, "Object tracking utilizing square grid RFID reader antenna network. Journal of Electromagnetic Waves and Applications," vol. 22, no. 1, pp. 27-38, 2008.
[CrossRef] [Web of Science Times Cited 21] [SCOPUS Times Cited 25]


[11] S. A. Mitilineos, S. C. A. Thomopoulos, "Positioning accuracy enhancement using error modeling via a polynomial approximation approach," Progress in Electromagnetics Research, vol. 102, pp. 49-64, 2010.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 15]


[12] C. K. Seow, S. Y. Tan, "Localization of omni-directional mobile device in multipath environments," Progress In Electromagnetics Research, vol. 85, pp. 323-348, 2008.
[CrossRef] [Web of Science Times Cited 45] [SCOPUS Times Cited 57]


[13] A. B. Martinez, S. M. Franco, J. P. Tejedor, R. M. L. Toledo, P. F. Reguero, E. J. Abril, "Indoor location based on ieee 802.11 round-trip time measurements with two-step nlos mitigation," Progress In Electromagnetics Research B, vol. 15, pp. 285-306, 2009.
[CrossRef]


[14] L. C. Mak, T.Furukawa, "A time-of-arrival-based positioning technique with non-line-of-sight mitigation using low-frequency sound," Journal of Electromagnetic Waves and Applications, vol. 22, no. 5, pp. 507-526, 2008.

[15] J. P. Tejedor, A. B. Martinez, S. M. Franco, R. M. L. Toledo, P. F. Reguero, E. J. Abril, "Characterization and mitigation of range estimation errors for an RTT-based ieee 802.11 indoor location system," Progress In Electromagnetics Research B, vol. 15, pp. 217-244, 2009.
[CrossRef] [SCOPUS Times Cited 15]


[16] R. G. Qiu, "RFID-enabled automation in support of factory integration," Robotics and Computer-Integrated Manufacturing, vol. 23, no. 6, pp. 677-689, 2007.
[CrossRef] [Web of Science Times Cited 58] [SCOPUS Times Cited 91]


[17] K. Coyle, "Management of RFID in Libraries," The Journal of Academic Librarianship, vol. 31, no. 5, pp. 486-489, 2005.
[CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 66]


[18] A. Cangialosi, J. E. Monaly, S. C. Yang, "Leveraging RFID in hospitals: Patient life cycle and mobility perspectives," IEEE Communications Magazine, vol.45, no.9, pp.18-23, 2007.
[CrossRef] [Web of Science Times Cited 52] [SCOPUS Times Cited 82]


[19] G. Adams, "Pharmaceutical manufacturing: RFID - reducing errors and effort," Filtration & Separation, vol. 44, no. 6, pp. 17-19, 2007.
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 18]


[20] M. Tajima, "Strategic value of RFID in supply chain management," Journal of Purchasing and Supply Management, vol. 13, no. 4, pp. 261-273, 2007.
[CrossRef] [SCOPUS Times Cited 321]


[21] A. M. Ladd, K. E. Bekris, A. Rudys, G. Marceau, L. E. Kavraki, D. S. Wallach, "Robotics-based location sensing using wireless Ethernet," Journal of Wireless Networks, vol. 11, pp. 189-204, 2005.
[CrossRef] [Web of Science Times Cited 104] [SCOPUS Times Cited 132]


[22] J. Cortes, S. Martinez, T. Karatas, F. Bullo, "Coverage control for mobile sensing networks," IEEE Transactions on Robotics and Automation, vol. 20, no. 2, pp. 243-255, 2004.
[CrossRef] [Web of Science Times Cited 1687] [SCOPUS Times Cited 2057]


[23] A. W. Reza, S. M. Pillai, K. Dimyati, "A Novel Positioning System Utilizing Zigzag Mobility Pattern," Progress In Electromagnetics Research, vol. 106, pp. 263-278, 2010.
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 7]


[24] A. W. Reza, T. K. Geok, "Objects tracking in dense reader environment utilizing grids of RFID antenna positioning," International Journal of Electronics, vol. 96, no. 12, pp. 1281-1307, 2009.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 12]


[25] D. W. Burgard, D. Fox, K. Fishkin, D. Hahnel, M. Philipose, "Mapping and localization with RFID technology," in IEEE International Conference on Robotics and Automation, New Orleans, LA, USA, 2004, pp. 1015-1020.
[CrossRef] [Web of Science Times Cited 313] [SCOPUS Times Cited 576]


[26] S. Y. Seidel, T. S. Rappaport, "914 MHz path loss prediction models for indoor wireless communications in multifloored buildings," IEEE Transactions on Antennas and Propagation, vol. 40, pp. 207-217, 1992.
[CrossRef] [Web of Science Times Cited 521] [SCOPUS Times Cited 754]




References Weight

Web of Science® Citations for all references: 3,090 TCR
SCOPUS® Citations for all references: 4,499 TCR

Web of Science® Average Citations per reference: 114 ACR
SCOPUS® Average Citations per reference: 167 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-05-23 12:25 in 164 seconds.




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