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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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  4/2018 - 10

 HIGHLY CITED PAPER 

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
 
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Download PDF pdficon (1,387 KB) | Citation | Downloads: 1,056 | Views: 2,338

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.


References | Cited By

Cited-By Clarivate Web of Science

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Cited-By SCOPUS

SCOPUS® Times Cited: 5
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Cited-By CrossRef

[1] A Voronoi Diagram-Based Grouping Test Localization Scheme in Wireless Sensor Networks, Li, Guangming, Xu, Menghui, Teng, Gaofei, Yang, Wei, Mak, Shu-Lun, Li, Chun-Yin, Lee, Chi-Chung, Electronics, ISSN 2079-9292, Issue 18, Volume 11, 2022.
Digital Object Identifier: 10.3390/electronics11182961
[CrossRef]

[2] The Methodology of Creating Variable Resolution Maps Based on the Example of Passability Maps, Pokonieczny, Krzysztof, ISPRS International Journal of Geo-Information, ISSN 2220-9964, Issue 12, Volume 9, 2020.
Digital Object Identifier: 10.3390/ijgi9120738
[CrossRef]

[3] Recent advances in vision-based indoor navigation: A systematic literature review, Khan, Dawar, Cheng, Zhanglin, Uchiyama, Hideaki, Ali, Sikandar, Asshad, Muhammad, Kiyokawa, Kiyoshi, Computers & Graphics, ISSN 0097-8493, Issue , 2022.
Digital Object Identifier: 10.1016/j.cag.2022.03.005
[CrossRef]

[4] A Voronoi Diagram-Based Grouping Test Localization Scheme in Wireless Sensor Networks, Xu, Menghui, Li, Guangming, 2019 IEEE 19th International Conference on Communication Technology (ICCT), ISBN 978-1-7281-0535-2, 2019.
Digital Object Identifier: 10.1109/ICCT46805.2019.8947133
[CrossRef]

Updated 3 days, 16 hours ago

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