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An Optimized Indoor RFID Positioning System Using 3D Mobility PatternREZA, A. W. , RUI, T. T. , KAUSAR, A. S.
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radio frequency identification, RFID tags
rfid(12), localization(9), research(6), progress(6), electromagnetics(6), mobile(5), indoor(5), utilizing(4), tracking(4), robotics(4)
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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
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.
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 Stochastic Wheel-Slip Compensation Based Robot Localization and Mapping, SIDHARTHAN, R. K., KANNAN, R., SRINIVASAN, S., BALAS, V. E., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 16, 2016.
Digital Object Identifier: 10.4316/AECE.2016.02004 [CrossRef] [Full text]
 A centralized architecture for inventory management using RFID, Zohaib, Muhammad, Pasha, Syed Mustafa, Hassan, Zeeshan, Iqbal, Jamshed, 2016 2nd International Conference on Robotics and Artificial Intelligence (ICRAI), ISBN 978-1-5090-4059-9, 2016.
Digital Object Identifier: 10.1109/ICRAI.2016.7791239 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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