Abstract
The holy grail in indoor location technology is to achieve the milestone of combining minimal cost with accuracy, for general consumer applications. A low-cost system should be inexpensive both to install and maintain, requiring only available consumer hardware to operate and its accuracy should be room-level or better. To achieve this, current systems require either extensive calibration or expensive hardware. Moreover, very few systems built so far have addressed localization in multi-story buildings. We explain a heuristics based indoor localization, tracking and navigation system for multi-story buildings called Locus that determines floor and location by using the locations of infrastructure points, and without the need for radio maps or calibration. It is an inexpensive solution with minimum setup and maintenance expenses. Initial experimental results in an indoor space spanning 175,000 square feet, show that it can determine the floor with 99.97% accuracy and the location with an average location error of 7m.
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.
Similar content being viewed by others
References
Bahl, P., Padmanabhan, V.N.: Radar: An in-building rf-based user location and tracking system. In: Proceedings of the IEEE Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, INFOCOM 2000, vol. 2, pp. 775–784. IEEE (2000)
Bahl, P., Padmanabhan, V.N., Balachandran, A.: Enhancements to the radar user location and tracking system. Technical report, Microsoft Research (2000)
Ekahau, http://www.ekahau.com/
Griswold, W.G., Boyer, R., Brown, S.W., Truong, T.M., Bhasker, E., Jay, G.R., Shapiro, R.B.: Activecampus-sustaining educational communities through mobile technology. University of California, San Diego, Department of Computer Science and Engineering. Technical Report (2002)
Li, X.: Ratio-based zero-profiling indoor localization. In: IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, MASS 2009., pp. 40–49. IEEE (2009)
Lim, H., Kung, L.C., Hou, J.C., Luo, H.: Zero-configuration indoor localization over ieee 802.11 wireless infrastructure. Wireless Networks 16(2), 405–420 (2010)
M-Urgency, http://m-urgency.umd.edu/
Varshavsky, A., LaMarca, A., Hightower, J., de Lara, E.: The skyloc floor localization system. In: Fifth Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2007, pp. 125–134. IEEE (2007)
Ye, H., Gu, T., Zhu, X., Xu, J., Tao, X., Lu, J., Jin, N.: Ftrack: Infrastructure-free floor localization via mobile phone sensing. In: 2012 Tenth Annual IEEE International Conference on Pervasive Computing and Communications. IEEE (2012)
Youssef, M.A., Agrawala, A., Udaya Shankar, A.: Wlan location determination via clustering and probability distributions. In: Proceedings of the First IEEE International Conference on Pervasive Computing and Communications (PerCom 2003), pp. 143–150. IEEE (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Bhargava, P., Krishnamoorthy, S., Nakshathri, A.K., Mah, M., Agrawala, A. (2013). Locus: An Indoor Localization, Tracking and Navigation System for Multi-story Buildings Using Heuristics Derived from Wi-Fi Signal Strength. In: Zheng, K., Li, M., Jiang, H. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 120. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40238-8_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-40238-8_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40237-1
Online ISBN: 978-3-642-40238-8
eBook Packages: Computer ScienceComputer Science (R0)