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JCR Impact Factor: 0.650
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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


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2019-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2018. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.650, and the JCR 5-Year Impact Factor is 0.639.

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Starting today, the minimum number a pages for a paper is 8, so all submitted papers should have 8, 10 or 12 pages. No exceptions will be accepted.

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  4/2018 - 10

Indoor Localization using Voronoi Tessellation

ARIF, M. See more information about ARIF, M. on SCOPUS See more information about ARIF, M. on IEEExplore See more information about ARIF, M. on Web of Science, WYNE, S. See more information about  WYNE, S. on SCOPUS See more information about  WYNE, S. on SCOPUS See more information about WYNE, S. on Web of Science, JUNAID NAWAZ, A. See more information about JUNAID NAWAZ, A. on SCOPUS See more information about JUNAID NAWAZ, A. on SCOPUS See more information about JUNAID NAWAZ, A. 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 (1,387 KB) | Citation | Downloads: 185 | Views: 461

Author keywords
indoor environments, interpolation, radio propagation, simultaneous localization and mapping, wireless LAN

References keywords
systems(10), location(9), indoor(9), localization(7), positioning(6), services(5), voronoi(4), information(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-11-30
Volume 18, Issue 4, Year 2018, On page(s): 85 - 90
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.04010
Web of Science Accession Number: 000451843400010
SCOPUS ID: 85058775391

Abstract
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Recently the use of received signal strength values from a wireless local area network has received significant research interest for indoor localization. This work investigates a Voronoi-based interpolation method to improve indoor localization performance. The region of interest is spanned by reference measurement locations, termed as anchors. The proposed method is shown to outperform well-known localization techniques such as the k-Nearest Neighbor (k-NN) and the Inverse Distance Weighting (IDW) methods in terms of accuracy and precision. Our results show that for a 20 m x 20 m room the proposed scheme can achieve a location accuracy of 5.7 m with at most 5 anchors, whereas the IDW and k-NN techniques attain location accuracies of only 6.1 m and 6.5 m, respectively, under the same conditions. These performance gains are achieved while maintaining the same number of anchors in the system calibration phase for all the considered techniques.


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Copyright ©2001-2019
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.

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