Abstract
This paper deals with the indoor localization using Wi-Fi networks. It reacts to the increasing trend in smart devices containing a large number of sensors and modules. The work deals with the use of a Wi-Fi module and a camera. The Android application which uses these modules for the localization and acquisition of fingerprints of wireless networks was created. The application consists of a client and a server side. The approach suggested enables a mobile device to be localized in a building for which a database with fingerprints of wireless networks is created. The application suggested can be used for every building provided that the following conditions are fulfilled; QR codes or other unique visual tags are distributed, the map of the building is available and the fingerprints of wireless networks are captured.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Li, H., Chen, X., Jing, G., Wang, Y., Cao, Y., Li, F., Zhang, X., Xiao, H.: An indoor continuous positioning algorithm on the move by fusing sensors and Wi-Fi on smartphones. Sensors 15(12), 29850 (2015)
Zhang, P., Zhao, Q., Li, Y., Niu, X., Zhuang, Y., Liu, J.: Collaborative WiFi fingerprinting using sensor-based navigation on smartphones. Sensors 15(7), 17534 (2015)
Yu, R., Wang, P., Zhao, Z.: The location fingerprinting and dead reckoning based hybrid indoor positioning algorithm. In: Sun, L., Ma, H., Fang, D., Niu, J., Wang, W., Pavlidis, M. (eds.) CWSN 2014. CCIS, vol. 501, pp. 605–614. Springer, Heidelberg (2015). doi:10.1007/978-3-662-46981-1_57
Liu, H.H., Lo, W.H., Tseng, C.C., Shin, H.Y.: A WiFi-based weighted screening method for indoor positioning systems. Wireless Pers. Commun. 79(1), 611–627 (2014)
Kriz, P., Maly, F., Kozel, T.: Improving indoor localization using bluetooth low energy beacons. Mobile Information Systems (2016, in Press). http://www.hindawi.com/journals/misy/aip/2083094/
IDC: Smartphone OS market share, 2015 Q2 (2016). http://www.idc.com/prodserv/smartphone-os-market-share.jsp
Machaj, J., Brida, P.: Using of GSM and Wi-Fi signals for indoor positioning based on fingerprinting algorithms. AEEE 13(3), 242–248 (2015)
Thaljaoui, A., Val, T., Nasri, N., Brulin, D.: BLE localization using RSSI measurements and iRingLA. In: 2015 IEEE International Conference on Industrial Technology (ICIT), pp. 2178–2183, March 2015
Mahiddin, N.A.: Indoor position detection using WiFi and trilateration technique. In: The International Conference on Informatics and Applications (ICIA 2012) (2012)
Chen, L., Li, B., Zhao, K., Rizos, C., Zheng, Z.: An improved algorithm to generate a Wi-Fi fingerprint database for indoor positioning. Sensors 13(8), 11085 (2013)
Cook, A.: 5 phenomena that impact Wi-Fi signal (2015). http://www.mirazon.com/5-phenomena-that-impact-wi-fi-signal/
Google: Indoor maps availability. https://support.google.com/gmm/answer/1685827
Ramani, S.V., Tank, Y.N.: Indoor navigation on google maps and indoor localization using RSS fingerprinting. CoRR abs/1405.5669 (2014)
Kaushik, S.: Strength of quick response barcodes and design of secure data sharing system. Int. J. Adv. Comput. Sci. Appl. (IJACSA) 2(11), 28 (2011)
Acknowledgements
The authors of this paper would like to thank Tereza Krizova for proofreading. This work was supported by the SPEV project, financed from the Faculty of Informatics and Management, University of Hradec Kralove.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Maly, F., Kriz, P., Jedlicka, M. (2016). Room-Level Indoor Localization Based on Wi-Fi Signals. In: Nguyen, N., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9876. Springer, Cham. https://doi.org/10.1007/978-3-319-45246-3_20
Download citation
DOI: https://doi.org/10.1007/978-3-319-45246-3_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-45245-6
Online ISBN: 978-3-319-45246-3
eBook Packages: Computer ScienceComputer Science (R0)