Abstract
In mobile computing scenarios, many localization approaches have been investigated primarily on the basis of radio or sound sensor technologies. In the context of indoor localization, wireless LAN technology has proven feasible for a broad variety of localization setups with satisfactory performance and accuracy figures, not least because of its widespread availability on both infrastructure and client side. While most research concentrates on the client-based approach where the mobile device acts as sensor, this work on the contrary emphasizes infrastructure-based localization completely relying on a sensing network and shifting the computation load away from the mobile device towards a background localization infrastructure. Our main contribution is a self-contained, portable sensor network that provides indoor localization detached from stationary constraints such as an underlying backbone network or a back-end server system. We present a prototype system that realizes an ad hoc setup demanding low deployment effort and able to provide a fundament for context-aware application scenarios. We conclude this paper by highlighting the autonomy aspects of our system and discuss the issues still to solve towards an out-of-the-box localization network for indoor usage.
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References
Aeroscout, http://www.aeroscout.com/
Ekahau RTLS, http://www.ekahau.com/
Libpcap, http://www.tcpdump.org/
Skyhook wireless, http://www.skyhookwireless.com/
Bahl, P., Padmanabhan, V.N.: Radar: An in-building rf-based user location and tracking system. In: INFOCOM (2000)
Boukerche, A., Oliveira, H., Nakamura, E., Loureiro, A.: Localization systems for wireless sensor networks. IEEE Wireless Communications 14(6), 6–12 (2007)
De Moraes, L., Nunes, B.: Calibration-free wlan location system based on dynamic mapping of signal strength. In: MobiWac 2006: Proceedings of the 4th ACM International Workshop on Mobility Management and Wireless Access (2006)
El-Kafrawy, K., Youssef, M., El-Keyi, A., Naguib, A.: Propagation modeling for accurate indoor wlan rss-based localization. In: 2010 IEEE 72nd Vehicular Technology Conference Fall, VTC 2010-Fall (2010)
Ganu, S., Krishnakumar, A., Krishnan, P.: Infrastructure-based location estimation in wlan networks. In: Proceedings of the IEEE WCNC (2004)
Hazas, M., Scott, J., Krumm, J.: Location-aware computing comes of age. Computer 37(2), 95–97 (2004)
Ibach, P.: AUTARC, http://www2.informatik.hu-berlin.de/~ibach/autonomy.htm
Kjaergaard, M.: A taxonomy for radio location fingerprinting. In: Proceedings of the Third International Symposium on Location and Context Awareness (2007)
Krishnan, P., Krishnakumar, A., Ju, W.-H., Mallows, C., Ganu, S.: A system for lease: Location estimation assisted by stationery emitters for indoor rf wireless networks. In: Proceedings of IEEE Infocom (2004)
Lim, H., Kung, L., Hou, J., Luo, H.: Zero-configuration, robust indoor localization: Theory and experimentation. In: INFOCOM (2006)
Parodi, B., Szabo, A., Bamberger, J., Horn, J.: Indoor online learning of feature maps using spll. In: IEEE Int. Conf. on Control and Automation, ICCA 2009 (2009)
Schmitzberger, H., Narzt, W.: Leveraging wlan infrastructure for large-scale indoor tracking. In: Proc. of the Sixth Int. Conf. on Wireless and Mobile Communications, ICWMC 2010 (2010)
Sohn, T., Griswold, W., Scott, J., LaMarca, A., Chawathe, Y., Smith, I., Chen, M.: Experiences with place lab: an open source toolkit for location-aware computing. In: ICSE 2006: Proceedings of the 28th International Conference on Software Engineering (2006)
Varshavsky, A., Patel, S.: Ubiquitous Computing Fundamentals. In: Location in Ubiquitous Computing. ch. 7, CRC Press, Boca Raton (2010)
Wallbaum, M.: Indoor Geolocation Using Wireless Local Area Networks (2006)
Wierenga, J., Komisarczuk, P.: Simple: developing a lbs positioning solution. In MUM 2005: Proc. of the 4th Int. Conf. on Mobile and Ubiquitous Multimedia (2005)
Youssef, M., Agrawala, A.: The horus wlan location determination system. In: MobiSys 2005: Proceedings of the 3rd International Conference on Mobile Systems, Applications, and Services (2005)
Youssef, M., Youssef, A., Rieger, C., Shankar, U., Agrawala, A.: Pinpoint: An asynchronous time-based location determination system. In: MobiSys 2006: Proceedings of the 4th International Conference on Mobile Systems, Applications and Services (2006)
Zàruba, G., Huber, M., Kamangar, F., Chlamtac, I.: Indoor location tracking using rssi readings from a single wi-fi access point. Wirel. Netw. 13(2), 221–235 (2007)
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Schmitzberger, H. (2012). Autonomous WLAN Sensors for Ad Hoc Indoor Localization. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27579-1_65
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DOI: https://doi.org/10.1007/978-3-642-27579-1_65
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