Year 2019, Volume 15, Issue 1, Pages 17 - 22 2019-03-22

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

Umut Can Çabuk [1] , Feriştah Dalkılıç [2] , Orhan Dağdeviren [3]

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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.

Indoor Positioning, Localization, Wi-Fi, Fingerprinting, Received Signal Strength Indicator
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Primary Language en
Subjects Engineering
Published Date 22-03-2019
Journal Section Articles
Authors

Orcid: 0000-0002-5166-4670
Author: Umut Can Çabuk (Primary Author)
Institution: ERZİNCAN ÜNİVERSİTESİ
Country: Turkey


Author: Feriştah Dalkılıç
Institution: Dokuz Eylul University, Turkey
Country: Turkey


Author: Orhan Dağdeviren
Institution: Ege University
Country: Turkey


Bibtex @research article { cbayarfbe416970, journal = {Celal Bayar University Journal of Science}, issn = {1305-130X}, eissn = {1305-1385}, address = {Celal Bayar University}, year = {2019}, volume = {15}, pages = {17 - 22}, doi = {10.18466/cbayarfbe.416970}, title = {A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems}, key = {cite}, author = {Çabuk, Umut Can and Dalkılıç, Feriştah and Dağdeviren, Orhan} }
APA Çabuk, U , 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. DOI: 10.18466/cbayarfbe.416970
MLA Çabuk, U , Dalkılıç, F , Dağdeviren, O . "A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems". Celal Bayar University Journal of Science 15 (2019): 17-22 <http://dergipark.org.tr/cbayarfbe/issue/44005/416970>
Chicago Çabuk, U , Dalkılıç, F , Dağdeviren, O . "A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems". Celal Bayar University Journal of Science 15 (2019): 17-22
RIS TY - JOUR T1 - A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems AU - Umut Can Çabuk , Feriştah Dalkılıç , Orhan Dağdeviren Y1 - 2019 PY - 2019 N1 - doi: 10.18466/cbayarfbe.416970 DO - 10.18466/cbayarfbe.416970 T2 - Celal Bayar University Journal of Science JF - Journal JO - JOR SP - 17 EP - 22 VL - 15 IS - 1 SN - 1305-130X-1305-1385 M3 - doi: 10.18466/cbayarfbe.416970 UR - https://doi.org/10.18466/cbayarfbe.416970 Y2 - 2019 ER -
EndNote %0 Celal Bayar University Journal of Science A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems %A Umut Can Çabuk , Feriştah Dalkılıç , Orhan Dağdeviren %T A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems %D 2019 %J Celal Bayar University Journal of Science %P 1305-130X-1305-1385 %V 15 %N 1 %R doi: 10.18466/cbayarfbe.416970 %U 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 (March 2019): 17-22. https://doi.org/10.18466/cbayarfbe.416970