Abstract
There have been a large amount of research and interest in the area of ubiquitous and indoor location aware computing in the past decade. Among several proposed algorithms, fingerprint algorithm stands as one of the most accurate systems for localization. However, there is a lack of theoretical basis and understanding on the orientation of the user. This paper presents a model for orientation-aware indoor location tracking system using a Zigbee based protocol wireless sensor called Sun’s SPOT (Small Programmable Object Technology). Our experiment shows better accuracy in location tracking when orientation and attenuation factors are considered for the path loss prediction model than the traditional path loss model. Orientation-aware fingerprint algorithm is also examined in our experiment to have a basis of comparison on an empirical algorithm.
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
Kaemarungi, K., Krishnamurthy, P.: Modeling of Indoor Positioning Systems Based on Location Fingerprinting. In: INFOCOM 2004, vol. 2, pp. 1023–1022 (2004)
Seidel, S.Y., Rappaport, T.S.: 914 MHz Path Loss Prediction Models for Indoor Wireless Communications in Multi-floored Buildings. IEEE Transaction on Antennas and Propagation 40(2), 207–217 (1992)
Janssen, G.J.M., Prasad, R.: Propagation Measurements in an Indoor Radio Environment at 2.4 GHz, 4.75 GHz and 11.5 GHz. In: IEEE 42nd Vehicular Technology Conference, Denver, CO, USA, vol. 2, pp. 617–620 (1992)
Sun Microsystems, Project Sun SPOT, http://www.sunspotworld.com
CC2420 2.4 GHz IEEE 802.15.4/Zigbee-ready RF Transceiver. Chipcon Products from Texas Instruments Incorporated, http://ti.com/lit/gpn/cc2420
Cho, H., Kang, M., Park, J., Park, B., Kim, H.: Performance Analysis of Location Estimation Algorithm in Zigbee Networks using Received Signal Strength. In: 21st International Conference on Advanced Information Networking and Applications Workshops, AINAW 2007, pp. 302–306 (2007)
Bahl, P., Padmanabhan, V.N.: RADAR: An In-Building RF-based User Location and Tracking System. In: Proceedings of 19th Annual Joint Conference of the IEEE Computer and Communications Societies. INFOCOM 2000, vol. 2, pp. 775–784 (2000)
Prasithsangaree, P., Krishnamurthy, P., Chrysanthis, P.: On Indoor Position Location with Wireless LANS. In: The 13th IEEE International Symposium on Personal, Indoor Mobile Radio Communications, vol. 2, pp. 720–724 (2002)
Madigan, D., Elnahrawy, E., Martin, R.: Bayesian Indoor Positioning Systems. In: Proceedings of IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies. INFOCOM 2005, Miami, Florida, vol. 2, pp. 1217–1227 (2005)
King, T., Kopf, S., Haenselmann, T., Lubberger, C., Effelsberg, W.: COMPASS: A Probabilistic Indoor Positioning System Based on 802.11 and Digital Compasses. In: Proceedings of the First ACM International Workshop on Wireless Network Testbeds, Experimental evaluation and CHaracterization (WiNTECH 2006), Los Angeles, CA, USA, September 2006, ACM, New York (2006)
Castro, P., Chiu, P., Kremenek, T., Muntz, R.R.: A Probabilistic Room Location Service for Wireless Networked Environments. In: Abowd, G.D., Brumitt, B., Shafer, S. (eds.) UbiComp 2001. LNCS, vol. 2201, pp. 18–34. Springer, Heidelberg (2001)
Want, R., Hopper, A., Falcao, V., Gibbons, J.: The Active Badge Location System. ACM Transactions on Information Systems (TOIS) 10(1), 91–102 (1992)
Priyantha, N.B., Chakraborty, A., Balakrishnan, H.: The Cricket location-support system. In: Proceedings of the 6th annual international conference on Mobile Computing and networking, International Conference on Mobile Computing and Networking, pp. 32–43. ACM, New York (2000)
Bahl, P., Padmanabhan, V.N.: Enhancements of the RADAR User Location and Tracking System. Technical Report MSR-TR-2000-12, Microsoft Research, Microsoft Corporation One Microsoft Way Redmond, WA 98052 (2000)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lihan, M., Tsuchiya, T., Koyanagi, K. (2008). Orientation-Aware Indoor Localization Path Loss Prediction Model for Wireless Sensor Networks. In: Takizawa, M., Barolli, L., Enokido, T. (eds) Network-Based Information Systems. NBiS 2008. Lecture Notes in Computer Science, vol 5186. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85693-1_19
Download citation
DOI: https://doi.org/10.1007/978-3-540-85693-1_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85692-4
Online ISBN: 978-3-540-85693-1
eBook Packages: Computer ScienceComputer Science (R0)