Abstract
In received signal strength (RSS)-based indoor localizations, the localization accuracy of a target node highly depends on the accuracy of estimated distances relative to anchors having a known location. Because RSS measurements are translated into distances by the path loss model (PLM), the accurate and prompt characterization of PLM parameters is crucial for improving the localization performance, especially as the wireless channel environment dynamically varies over time. Here, we propose a zero-configuration method based on inter-anchor measurements in order to accurately characterize PLM parameters with no offline onsite measurements. We then describe and compare two different approaches for converting the RSS measurements to the corresponding distances.
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
Lim, H., Kung, L.-C., Hou, J.C., Luo, H.: Zero-configuration indoor localization over ieee 802.11 wireless infrastructure. Springer Wireless Networks 53(7), 405–420 (2010)
Zanca, G., Zorzi, F., Zanella, A., Zorzi, M.: Experimental comparison of RSSI-based localization algorithms for indoor wireless sensor networks. In: The ACM Workshop on Real-World Wireless Sensor Networks (2008)
Niculescu, D., Nath, B.: Ad hoc positioning system. In: IEEE Globecom (2001)
Nagpal, R., Shrobe, H., Bachrach, J.: Organizing a Global Coordinate System from Local Information on an Ad Hoc Sensor Network. In: Zhao, F., Guibas, L.J. (eds.) IPSN 2003. LNCS, vol. 2634, pp. 333–348. Springer, Heidelberg (2003)
Savvides, A., Han, C.-C., Strivastava, M.B.: Dynamic fine-grained localization in ad-hoc networks of sensors. In: ACM MobiCom (2001)
Patwari, N., Hero, A.O., Perkins, M., Correal, N.S., O’Dea, R.J.: Relative location estimation in wireless sensor networks. IEEE Trans. on Signal Processing 51(8), 2137–2148 (2003)
Yang, J., Chen, Y.: Indoor localization using improved rss-based lateration methods. In: IEEE Globecom (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Kim, R., Choi, W., Lim, H., Jang, JH. (2012). POSTER Zero-Configuration Path Loss Model-Based Indoor Localization. In: Puiatti, A., Gu, T. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30973-1_20
Download citation
DOI: https://doi.org/10.1007/978-3-642-30973-1_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30972-4
Online ISBN: 978-3-642-30973-1
eBook Packages: Computer ScienceComputer Science (R0)