Improved Indoor Location Systems in a Controlled Environments
The precise localization by using Wi-Fi Access Point (AP) has become a very important issue for indoor location based services such as marketing, patient follow up and so on. Present AP localization systems are working on specially designed Wi-Fi units, and their algorithms using radio signal strength (RSS) exhibit (relatively) high errors, so industry looks more precise and fast adaptable methods. A new model considering/eliminating strong RSS levels in addition to close distance error elimination algorithm (CDEEA) combined with median filters has been proposed in order to increase the performance of conventional RSS based location systems. Collecting local signal strengths by means of an ordinary WiFi units present on any laptop as a receiver is followed by the application of CDEEA to eliminate strong RSS levels. Median filter is then applied to those eliminated values, and AP based path loss model is generated, adaptivelly. Finally, the proposed algorithm predicts locations within a maximum mean error of 2.96m for 90% precision level. This achievement with an ordinary wifi units present on any commercial laptop is comparably at very good level in literature.
Miwa S. Tagashira, H. matsuda, T. Sutsui, Y. Arakawa and A. Fukuda, A Multileration Based Localization Scheme for Adhoc Wireless Positioning Networks Used in Information oriented Construction, Proceedings of IEEE27th Internetional Conferenece on Advanced Information Networking and Applications (AINA), pp:690-695,2013.
M. Ocaña, L. M. Bergasa, M.A. Sotelo, J. Nuevo, R. Flores, IEEE ISIE 2005, Dubrovnik, Croatia, pp:1545-1550, June 20-23, 2005.
I. Cox, “Blanche-an experiment in guidance and navigation of an autonomous robot vehicle”. IEEE Transactions on Robotics and Automation, 7(2), Page: 193-204, 1991.
Farhan Manzoor, Yi Huang, and Karsten Menzel, Passive RFID-Based Indoor Positioning System, An Algorithmic Approach, Program for the IEEE International Conference on RFID-Technology and Applications, 17 - 19 June 2010 Guangzhou, China.
Busra Ozdenizci, Vedat Coskun and Kerem Ok, NFC Internal: An Indoor Navigation System, Sensors, Volume (15) page:2571-2595, 2015.
Sławomir Hausman and Łukasz Januszkiewicz, Impact of Indoor Environment on Path Loss in Body Area Networks, Sensors, Vol: 14, page:19551-19560, 2014.
Dezhong Yaoa, Chen Yu, Anind K. Dey, Christian Koehler, Geyong Minc, Laurence T. Yanga, Hai Jin, Energy efficient indoor tracking on smartphones, Future Generation Computer Systems Vol:39, page: 44–54, 2014.
R.S.Campos, L. Lovisolo, M. Luiz R. de Campos, Wi-Fi multi-floor indoor positioning considering architectural aspects and controlled computational complexity, Expert Systems with Applications, Volume: 41, 6211–6223,2014.
Helhel S., Kocakuşak A., "Yol Kaybı İndeks Hesabı Ve Wifi Tabanlı Kontrolsüz Gezginlerden Arındırılmış Bina İçi Konum Tespit Sistemi", VII. URSI-Türkiye Bilimsel Kongresi, KAYSERİ, TÜRKIYE, 28-30 Ağustos 2014, cilt.1, no.1, ss.1-4.
Helhel S., Kocakuşak A., "Algorithms For Indoor Localization On Wlan Networks Applications", PIERS 2014, Guangzau, China, vol.1, no.1, pp.1-2 , 25-28 Ağustos 2014.
A.A. Wahab, A. Khattab and Y.A. Fahmy, “Two-Way TOA with Limited Dead Reckoning for GPS-Free Vehicle Localization Using Single RSU,” Proceedings of the International Conference on ITS Telecommunications, pp.244-249, 2013.
S. Uebayashi, M. Shimizu and T. Fujiwara, “A Study of TDOA Positioning Using UWB Reflected Waves,” Proceedings of the 78th IEEE Vehicular Technology Conference, pp.1-5, 2013.
Parameterization of a Polarimetric Diffuse Scattering Model in Indoor Environments, IEEE Transactions On Antennas And Propagation, Vol. 62, No. 8, Page:4361-4364, August 2014
Selçuk Helhel, Huseyin Goksu, Sukru Ozen, Investigation of 3D electromagnetic field distribution for dynamic polarization diversity, IEEE Antennas and Wireless Propagation Letters, Vol:7, Page 171-174, 2008.
Selcuk Helhel, Sukru Ozen, I Bahadir Basyigit, Osman Kurnaz, Yunus E Yoruk, Murat Bitirgan, Zeynep Colak, Radiated susceptibility of medical equipment in health care units: 2G and 3G mobile phones as an interferer, Microwave and Optical Technology Letters, 11(53), page: 2657-2661, 2011.
Kim D, Ingram MA, Smith WW. Measurements of Small-Scale Fading and Path Loss for Long Range RF Tags. IEEE Transactions On Antennas And Propagation 2003; 51(8): 1740-9.
Yongxiang Zhao, Meifang Li, Feng Shi, “Indoor Radio Propagation Model Based on Dominant Path”, Int. J. Communications, Network and System Sciences, 2010, 3, 330-337, doi:10.4236/ijcns.2010.33042 blished Online March 2010
Çelik S., Kurnaz O., Albayrak Y., Bitirgan M., Basyigit I.B., Helhel S., An Indoor To Outdoor Propagatıon Model At Gsm900 Gsm1800 And Cdma2100, International Journal Of Engineering & Applied Sciences (IJEAS) Vol.5, Issue 2; page: 09-17, 2013.
Lin Ma and Yubin Xu, Received Signal Strength Recovery in Green WLAN Indoor Positioning System Using Singular Value Thresholding, Sensors, Volume: 15, 1292-1311, 2015.
Y.S. Lin ; Taichung; R.C. Chen ; Y.C. Lin “An indoor location identification system based on neural network and genetic algorithm”, 3rd International Conf.on Awareness Science and Techn. (iCAST), 2011 27-30 Sept. 2011.
Kurnaz O., Helhel S., "Near Ground Propagation Model For Pine Tree Forest Environment", AEU- International Journal Of Electronics And Communications, vol.1, no.1, pp.2-5, 2014.
Selcuk Helhel, Atalay kocakusak, Yalcın Albayrak and Sukru Ozen, WLAN Based Indoor Locating Systems Enhanced by Ultrasonic Sensors; Hybrid Indoor Locater Systems (HILoS), Progress in Electromagnetic Research Symposium PIERS 2015, Prag, July 2015.
Article MetricsAbstract view : 351 times
PDF - 282 times
- There are currently no refbacks.
Copyright (c) 2019 Universitas Ahmad Dahlan
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
TELKOMNIKA Telecommunication, Computing, Electronics and Control
ISSN: 1693-6930, e-ISSN: 2302-9293
Universitas Ahmad Dahlan, 4th Campus, 9th Floor, LPPI Room
Jl. Ringroad Selatan, Kragilan, Tamanan, Banguntapan, Bantul, Yogyakarta, Indonesia 55191
Phone: +62 (274) 563515, 511830, 379418, 371120 ext. 4902, Fax: +62 274 564604