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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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  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: 1,388 | Views: 2,770

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  «-- Click to see who has cited this paper

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[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 7]


[2] R. Zekavat and R. M. Buehrer, "Handbook of position Location: Theory, Practice and Advances", IEEE Series on Digital and Mobile Communication, Wiley-IEEE Press, 2011.

[3] A. Yassin, Y. Nasser, M. Awad, A. Al-Dubai, R. Liu, C. Yuen, R. Raulefs and E. Aboutanios, "Recent advances in indoor localization: A survey on theoretical approaches and applications," IEEE Communications Surveys & Tutorials. Vol. 19, no. 2, pp. 1327-1346, 2016.
[CrossRef] [Web of Science Times Cited 594] [SCOPUS Times Cited 743]


[4] W. Zhao, S. Han, W. Meng, and D. Zou, "A testbed of performance evaluation for fingerprint based WLAN positioning system," KSII transaction on internet and information systems, vol. 10, no. 6, pp. 2583-2605, 2016.
[CrossRef] [Web of Science Times Cited 7] [SCOPUS Times Cited 8]


[5] D. Han, S. Jung, M. Lee, and G. Yoon, "Building a practical Wi-Fi-based indoor navigation system," IEEE Pervasive Computing, vol. 13, no. 2, pp. 72-79, 2014.
[CrossRef] [SCOPUS Times Cited 145]


[6] Y. Mo, Z. Zhang, Y. Lu, and G. Agha, "A novel technique for human traffic based radio map updating in Wi-Fi indoor positioning systems," KSII Transactions on Internet and Information Systems, vol. 9, no. 5, pp. 1881-1903, 2015.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 5]


[7] J. Yang and Y. chen, "Indoor localization using improved RSS-based Lateration methods," in Proc. 28th IEEE conference on Global telecommunications, 2009.
[CrossRef] [SCOPUS Times Cited 174]


[8] C. R. Comsa, J. Luo, A. Haimovich, and S. Schwartz, "Wireless localization using time difference of arrival in narrow-band multipath systems," in Proc. International symposium on signals circuits and systems, Romania, 2007. pp. 1-4.
[CrossRef] [SCOPUS Times Cited 20]


[9] C. D. Flora and M. Hermersdorf, "A practical implementation of indoor location-based services using simple Wi-Fi positioning," Journal of location based services, vol. 2, no. 2, pp. 87-111, 2008.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 16]


[10] P. A. Zandbergen. "Comparison of WiFi positioning on two mobile devices," Journal of Location Based Services, vol. 6, no. 1, pp. 35-50, 2011.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 27]


[11] P. Bahl and V. N. Padmanabhan, "RADAR: an in-building RF-based user location and tracking system," in Proc. 9th Annual Joint Conference of the IEEE Computer and Communications Societies, 2000, pp. 775-784.
[CrossRef]


[12] P. Mirowski, P. Whiting, H. Steck, R. Palaniappan; et al., "Probability kernel regression for Wi-Fi localization," Journal of Location based Services, vol. 6, no. 2, pp. 81-100, 2012.
[CrossRef] [Web of Science Times Cited 39] [SCOPUS Times Cited 48]


[13] B. Kobben, "Wireless Campus LBS, A Test Bed for Wi-Fi positioning and location based services," Cartography and Geographic Information Science, vol. 34, no. 4, pp. 285-292, 2007.
[CrossRef] [SCOPUS Times Cited 8]


[14] V. C. Gungor and M. K. Korkmaz, "Wireless link-quality estimation in smart grid environments," International Journal of Distributed Sensor Networks, vol. 8, no. 2, 2012.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 29]


[15] D. Wu, Y. Xu, and L. Ma, "Research on RSS based Indoor Location Method," in Proc. IEEE Pacific-Asia Conf. on Knowledge Engineering and Software Engineering, Jan. 2010, pp. 205-208.
[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 22]


[16] N. Hernandez, A. Hussein, D. Cruzado, I. Parra, and J. M. Armingol. "Applying low cost WiFi-based localization to in-campus autonomous vehicles," in Proc. 20th IEEE International Conference on Intelligent Transportation Systems (ITSC), 2017, pp. 1-6.
[CrossRef] [SCOPUS Times Cited 10]


[17] M. R. K. Aziz, L. Yuto and T. Matsumoto, "A New RSS-based Wireless Geolocation Technique Utilizing Joint Voronoi and Factor Graph," International Journal of Simulation: Systems, Science and Technology, 2016.
[CrossRef] [SCOPUS Times Cited 2]


[18] F. Shang, Y. Jiang, A. Xiong, W. Su and L. He. "A Node Localization Algorithm Based on Multi-Granularity Regional Division and the Lagrange Multiplier Method in Wireless Sensor Networks," Sensors, vol. 16, no. 11, 2016.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 14]


[19] M. Lee and D. Han, "Voronoi Tessellation based interpolation method for Wi-Fi radio map," IEEE Communications Letters, vol. 16, no. 3, pp. 404-407, 2012.
[CrossRef] [Web of Science Times Cited 72] [SCOPUS Times Cited 93]


[20] F. Aurenhammer, "Voronoi diagrams a survey of a fundamental geometric data structure," ACM Computing Surveys, vol. 23, no. 3, pp. 345-450, 1991.
[CrossRef] [SCOPUS Times Cited 3378]


[21] S. P. Kuo and Y. C. Tseng, "Discriminant minimization search for large scale RF based localization systems," IEEE Transaction on Mobile Computing, vol. 10, no. 2, pp. 291-304, 2011.
[CrossRef] [Web of Science Times Cited 66] [SCOPUS Times Cited 70]


[22] A. Okabe, B. Boots, K. Sugihara, and S. N. Chiu, "Spatial Tessellations: concepts and applications of Voronoi diagram," 2nd. West Sussex: John Wiley & Sons, 2000.

[23] Z. Xiong, F. Sottile, M. A. Spirito and R. Garello, "Hybrid Indoor Positioning Approaches Based on WSN and RFID," in Proc. 4th IFIP International Conference on New Technologies, Mobility and Security, 2011, pp. 1-5.
[CrossRef] [SCOPUS Times Cited 29]


[24] Y. Seidel and T. S. Rappaport, "914 MHz path loss prediction model for indoor wireless communication in multi-floored buildings," IEEE Transactions on Antennas and Propagation, vol. 40, no. 2, pp. 201-217, 1992.
[CrossRef] [Web of Science Times Cited 533] [SCOPUS Times Cited 771]




References Weight

Web of Science® Citations for all references: 1,389 TCR
SCOPUS® Citations for all references: 5,619 TCR

Web of Science® Average Citations per reference: 56 ACR
SCOPUS® Average Citations per reference: 225 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 2024-12-06 21:09 in 149 seconds.




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Stefan cel Mare University of Suceava, Romania


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