TY  - JOUR
T1  - A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems
AU  - Çabuk, Umut Can
AU  - Dalkılıç, Feriştah
AU  - Dağdeviren, Orhan
PY  - 2019
DA  - March
DO  - 10.18466/cbayarfbe.416970
JF  - Celal Bayar University Journal of Science
JO  - CBUJOS
PB  - Manisa Celal Bayar University
WT  - DergiPark
SN  - 1305-130X
SP  - 17
EP  - 22
VL  - 15
IS  - 1
LA  - en
AB  - Global positioning system and other outdoor positioning mechanisms arealready subject to comprehensive research and development for almost half acentury. Conversely, indoor positioning services became a hot topic in the lastdecade. Since GPS (and. other outdoor solutions) do not work reliably in mostindoor environments, researchers and developers are working on accuratepositioning solutions, especially tailored for indoor places. However; due towalls, furniture, people and other obstacles, absolute location estimation isvery hard and expensive to achieve in indoor places. In addition, accuracyneeds depend on the scenario and application. In this study, we have studied thefeasibility of room-level location detection in home and office environments.We have focused on examining the quality of room-wise detection accuracy of thefingerprinting method that is applied along with standard Wi-Fi radioinfrastructure. We have conducted experiments in a multi-storey office buildingmade of concrete and aerated concrete bricks with many rooms, in which it issignificantly hard to accurately estimate the correct place of a thing, usingradio signals. To the best of our knowledge, our paper is the first study thatinvestigates the room-level accuracy of Wi-Fi fingerprinting-based indoorlocalization systems. We have found out that, it is possible to feasiblyachieve room-level detection with good accuracy, via a pre-calculated room-specificreceived signal strength indicator threshold value.
KW  - Indoor Positioning
KW  - Localization
KW  - Wi-Fi
KW  - Fingerprinting
KW  - Received Signal Strength Indicator
CR  - 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.
CR  - 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.
CR  - 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.
CR  - 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.
CR  - 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.
CR  - 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.
CR  - 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).
CR  - 8.	Internal Positioning, Framework for internal navigation and discovery (FIND). https://www.internalpositioning.com/faq/, 2017 (accessed 12.04.2018)
CR  - 9.	Group, H.L, Hand washing: A modest measure—with big effects, BMJ: British Medical Journal, 1999, 318(7185), 686.
CR  - 10.	Whitby, M, McLaws, M. L, Ross, M.W, Why healthcare workers don't wash their hands: a behavioral explanation, Infection Control & Hospital Epidemiology, 2006, 27(5), 484-492. doi:10.1086/503335.
CR  - 11.	Chapre, Y, Ignjatovic, A, Seneviratne, A, Jha, S. Csi-mimo: Indoor Wi-Fi Fingerprinting System., in proc. of the IEEE 39th Conf. on Local Comp. Networks (LCN), Edmonton, AB, Canada, 2014, pp 202-209.
UR  - https://doi.org/10.18466/cbayarfbe.416970
L1  - https://dergipark.org.tr/en/download/article-file/674204
ER  -