Araştırma Makalesi

A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems

Cilt: 15 Sayı: 1 22 Mart 2019
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A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems

Öz

Global positioning system and other outdoor positioning mechanisms are already subject to comprehensive research and development for almost half a century. Conversely, indoor positioning services became a hot topic in the last decade. Since GPS (and. other outdoor solutions) do not work reliably in most indoor environments, researchers and developers are working on accurate positioning solutions, especially tailored for indoor places. However; due to walls, furniture, people and other obstacles, absolute location estimation is very hard and expensive to achieve in indoor places. In addition, accuracy needs depend on the scenario and application. In this study, we have studied the feasibility of room-level location detection in home and office environments. We have focused on examining the quality of room-wise detection accuracy of the fingerprinting method that is applied along with standard Wi-Fi radio infrastructure. We have conducted experiments in a multi-storey office building made of concrete and aerated concrete bricks with many rooms, in which it is significantly hard to accurately estimate the correct place of a thing, using radio signals. To the best of our knowledge, our paper is the first study that investigates the room-level accuracy of Wi-Fi fingerprinting-based indoor localization systems. We have found out that, it is possible to feasibly achieve room-level detection with good accuracy, via a pre-calculated room-specific received signal strength indicator threshold value.

Anahtar Kelimeler

Kaynakça

  1. 1. Kim, S, Ha, S, Saad, A, Kim, J. Indoor Positioning System Techniques and Security, in proc. of the IEEE Fourth International Conference on e-Technologies and Networks for Development (ICeND), Lodz, Poland, 2015, pp 1-4.
  2. 2. Koyuncu, H, Yang, S.H, A survey of indoor positioning and object locating system, International Journal of Computer Science and Network Security, 2010, 10(5), 121-128.
  3. 3. Li, B, Salter, J, Dempster, A.G, Rizos, C. Indoor Positioning Techniques Based on Wireless LAN, proceedings of the IEEE International Conference on Wireless Broadband and Ultra-Wideband Communications (AusWireless), Sydney, Australia, 2006.
  4. 4. Seco, F, Plagemann, C, Jiménez, A.R, Burgard, W. Improving RFID-Based Indoor Positioning Accuracy Using Gaussian Processes, proceedings of the IEEE Int. Conference on Indoor Positioning and Indoor Navigation (IPIN), Zurich, Switzerland, 2010, pp 1-8.
  5. 5. Mazuelas, S, Bahillo, A, Lorenzo, R.M, Fernandez, P, Lago, F.A, Garcia, E, Blas, J, Abril, E.J, Robust indoor positioning provided by real-time RSSI values in unmodified WLAN networks, IEEE Journal of selected topics in signal processing, 2009, 3(5), 821-831. doi:10.1109/JSTSP.2009.2029191.
  6. 6. Jekabsons, G, Kairish, V, Zuravlyov, V, An analysis of Wi-Fi based indoor positioning accuracy, Scientific Journal of Riga Technical University, Computer Sciences, 2011, 44(1), 131-137. doi:10.2478/v10143-011-0031-4.
  7. 7. Aruba Networks Inc., Indoor 802.11n site survey and planning. https://community.arubanetworks.com/aruba/attachments/aruba/unified-wired-wireless-access/588/1/indoor80211n_2012-05-31.pdf, 2012 (accessed 12.04.2018).
  8. 8. Internal Positioning, Framework for internal navigation and discovery (FIND). https://www.internalpositioning.com/faq/, 2017 (accessed 12.04.2018)

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

22 Mart 2019

Gönderilme Tarihi

19 Nisan 2018

Kabul Tarihi

22 Ocak 2019

Yayımlandığı Sayı

Yıl 2019 Cilt: 15 Sayı: 1

Kaynak Göster

APA
Çabuk, U. C., Dalkılıç, F., & Dağdeviren, O. (2019). A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems. Celal Bayar University Journal of Science, 15(1), 17-22. https://doi.org/10.18466/cbayarfbe.416970
AMA
1.Çabuk UC, Dalkılıç F, Dağdeviren O. A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems. Celal Bayar University Journal of Science. 2019;15(1):17-22. doi:10.18466/cbayarfbe.416970
Chicago
Çabuk, Umut Can, Feriştah Dalkılıç, ve Orhan Dağdeviren. 2019. “A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems”. Celal Bayar University Journal of Science 15 (1): 17-22. https://doi.org/10.18466/cbayarfbe.416970.
EndNote
Çabuk UC, Dalkılıç F, Dağdeviren O (01 Mart 2019) A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems. Celal Bayar University Journal of Science 15 1 17–22.
IEEE
[1]U. C. Çabuk, F. Dalkılıç, ve O. Dağdeviren, “A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems”, Celal Bayar University Journal of Science, c. 15, sy 1, ss. 17–22, Mar. 2019, doi: 10.18466/cbayarfbe.416970.
ISNAD
Çabuk, Umut Can - Dalkılıç, Feriştah - Dağdeviren, Orhan. “A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems”. Celal Bayar University Journal of Science 15/1 (01 Mart 2019): 17-22. https://doi.org/10.18466/cbayarfbe.416970.
JAMA
1.Çabuk UC, Dalkılıç F, Dağdeviren O. A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems. Celal Bayar University Journal of Science. 2019;15:17–22.
MLA
Çabuk, Umut Can, vd. “A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems”. Celal Bayar University Journal of Science, c. 15, sy 1, Mart 2019, ss. 17-22, doi:10.18466/cbayarfbe.416970.
Vancouver
1.Umut Can Çabuk, Feriştah Dalkılıç, Orhan Dağdeviren. A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems. Celal Bayar University Journal of Science. 01 Mart 2019;15(1):17-22. doi:10.18466/cbayarfbe.416970

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