Abstract
The paper deals with the indoor positioning solution based on utilization of IEEE 802.11 network and fingerprinting method. This solution was designed as a part of user adaptive integrated positioning system that provides location-based services in indoor environment. The integrated positioning system is engineered for ubiquitous positioning, i.e. anywhere and anytime. The system for indoor environment is called WifiLOC and it is implemented as a mobile-assisted positioning system. The architecture and fundamental principles of the WifiLOC system are presented in this paper. The positioning system is based on the fingerprinting method, which utilizes signal strength information for position estimation.
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
Preview
Unable to display preview. Download preview PDF.
References
Tokarčíková, E.: The Main Issues of Marketing Strategy for 3G Mobile Services. Economics and Management 7(4), 90–95 (2004), ISSN 1212-3609
Krejcar, O., Frischer, R.: Inexpensive Discrete PSD Controller with PWM Power Output. Przegląd Elektrotechniczny 87(1), 296–299 (2011), ISSN: 0033-2097
Cerny, M., Penhaker, M.: Biotelemetry. In: 14th Nordic-Baltic Conference an Biomedical Engineering and Medical Physics, IFMBE Proceedings, Riga, Latvia, June 16-20, vol. 20, pp. 405–408 (2008)
Chen, Y., Kobayashi, H.: Signal Strength Based Indoor Geolocation. Communications 1, 436–439 (2002)
Wallbaum, M.: WhereMoPS: An Indoor Geolocation System. In: The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, vol. 4, pp. 1967–1971 (2002)
IEEE Standard for Information Technology-telecommunications and Information Exchange Between Systems-local and Metropolitan Area Networks-specific Requirements - part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) Specifications, IEEE Standard 802.11-2007 (2007), ISBN: 978-0-7381-5656-9
Doboš, Ľ., Duha, J., Marchevsky, S., Wieser, V.: Mobilné rádiové siete (Mobile Radio Networks), 1st edn. EDIS, Žilina (2002) (in Slovak)
Brida, P., Cepel, P., Duha, J.: A Novel Adaptive Algorithm for RSS Positioning in GSM Networks. In: CSNDSP 2006 Proceedings, Patras, Greece, July 19-21, pp. 748–751 (2006)
Krejcar, O.: Problem Solving of Low Data Throughput on Mobile Devices by Artefacts Prebuffering. EURASIP Journal on Wireless Communications and Networking, Article ID 802523, 8 pages (2009), doi:10.1155/2009/802523, ISSN: 1687-1499
Hata, M., Nagatsu, T.: Mobile Location Using Signal Strength Measurements in a Cellular System. IEEE Trans. on Vehicular Technology VT-29, 245–252 (1980)
Otsason, V.: Accurate Indoor Localization Using Wide GSM Fingerprinting. Master’s thesis, Tartu, Estonia (2005)
Anne, K.R., Kyamakya, K., Erbas, F., Takenga, C., Chedjou, J.C.: GSM RSSI-based Positioning Using Extended Kalman Filter for Training ANN. In: proceedings of VTC 2004, Los Angeles (2004)
Takenga, C., Kyamakya, K., Quan, W.: On the Accuracy Improvement Issues in GSM Location Fingerprinting. In: Vehicular Technology Conference, VTC-2006 Fall, pp. 1–5 (2006)
Li, B., Wang, Y., Lee, H.K., Dempster, A.G., Rizos, C.: A New Method for Yielding a Database of Location Fingerprints in WLAN. IEE Proc. Communications 152(5), 580–586 (2005)
Tsung-Nan, L., Po-Chiang, L.: Performance Comparison of Indoor Positioning Techniques Based on Location Fingerprinting in Wireless Networks. In: International Conference on Wireless Networks, Communications and Mobile Computing, vol. 2 (2005)
Brida, P., Cepel, P., Duha, J.: Mobile Positioning in Next Generation Networks (ch. XI). In: Kotsopoulos, S., Ioannou, K. (eds.) Handbook of Research on Heterogeneous Next Generation Networking: Innovations and Platforms, pp. 223–252. IGI Global (Information Science Reference), New York (2008), ISBN 978-1-60566-108-7 (hardcover)
Chrysikos, T., Georgopoulos, G., Birkos, K., Kotsopoulos, S.: Wireless Channel Characterization: On the Validation Issues of Indoor RF Models at 2.4 GHz. In: First Panhellenic Conference on Electronics and Telecommunications (PACET), Patras, Greece, March 20-22 (2009)
Canonical Ltd. Ubuntu Homepage, http://www.ubuntu.com
MySql Homepage, http://www.mysql.com
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Brida, P., Gaborik, F., Duha, J., Machaj, J. (2011). Indoor Positioning System Designed for User Adaptive Systems. In: Nguyen, N.T., Trawiński, B., Jung, J.J. (eds) New Challenges for Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19953-0_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-19953-0_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19952-3
Online ISBN: 978-3-642-19953-0
eBook Packages: EngineeringEngineering (R0)