Click to open the HelpDesk interface
AECE - Front page banner

Menu:


FACTS & FIGURES

JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: Aug 2018
Next issue: Nov 2018
Avg review time: 80 days


PUBLISHER

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


TRAFFIC STATS

2,050,277 unique visits
546,166 downloads
Since November 1, 2009



No robots online now


SJR SCImago RANK

SCImago Journal & Country Rank


SEARCH ENGINES

aece.ro - Google Pagerank




TEXT LINKS

Anycast DNS Hosting
MOST RECENT ISSUES

 Volume 18 (2018)
 
     »   Issue 3 / 2018
 
     »   Issue 2 / 2018
 
     »   Issue 1 / 2018
 
 
 Volume 17 (2017)
 
     »   Issue 4 / 2017
 
     »   Issue 3 / 2017
 
     »   Issue 2 / 2017
 
     »   Issue 1 / 2017
 
 
 Volume 16 (2016)
 
     »   Issue 4 / 2016
 
     »   Issue 3 / 2016
 
     »   Issue 2 / 2016
 
     »   Issue 1 / 2016
 
 
 Volume 15 (2015)
 
     »   Issue 4 / 2015
 
     »   Issue 3 / 2015
 
     »   Issue 2 / 2015
 
     »   Issue 1 / 2015
 
 
  View all issues  








LATEST NEWS

2018-Jun-27
Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

Read More »


    
 

  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
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,714 KB) | Citation | Downloads: 389 | Views: 2,178

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
Quick view
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 6] [SCOPUS Times Cited 6]


[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 7] [SCOPUS Times Cited 11]


[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 28] [SCOPUS Times Cited 39]


[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 24] [SCOPUS Times Cited 32]


[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 26] [SCOPUS Times Cited 33]


[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 19] [SCOPUS Times Cited 31]


[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 20] [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 40] [SCOPUS Times Cited 53]


[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 12]


[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 53] [SCOPUS Times Cited 80]


[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 29] [SCOPUS Times Cited 54]


[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 38] [SCOPUS Times Cited 70]


[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 11] [SCOPUS Times Cited 16]


[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 232]


[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 74] [SCOPUS Times Cited 98]


[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 1096] [SCOPUS Times Cited 1357]


[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 9] [SCOPUS Times Cited 10]


[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 97]


[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 387] [SCOPUS Times Cited 592]




References Weight

Web of Science® Citations for all references: 1,986 TCR
SCOPUS® Citations for all references: 2,778 TCR

Web of Science® Average Citations per reference: 74 ACR
SCOPUS® Average Citations per reference: 103 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 2018-09-18 12:31 in 178 seconds.




Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2018
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.




Website loading speed and performance optimization powered by: