Abstract
This paper proposes the QLP-LBS (Quantization and Location Prediction-based LBS). This QLP-LBS system is based on quantization theory and uses statistical location prediction mechanism. This LBS applies the quantum range of quantization theory to each mobile user and reduces location update costs by comparing results between moving distance of mobile user and quantum range. But, this LBS system generates location errors from the quantization. In order to solve this problem, we apply statistical location prediction mechanism to LBS system. This prediction mechanism predicts location of mobile user using its historical path and decrease location errors by quantization and makes more reliable LBS system. For performance evaluation, this paper measures location accuracy and reduction rate of location update costs with various quantum ranges. This experiments show that QLP-LBS effectively reduces location update costs of LBS system. Also, QLP-LBS solves problem of location errors using location prediction mechanism which is problem of general quantized system. Therefore, QLP-LBS is solution for reduction of location update costs and has reliable location accuracy.
This research was supported the IITPA (Incheon Information Technology Industry Promotion Agency), Korea, under the Complex terminal test & service technique development for air distribution RFID equipment.
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
Karimi, H., Hammad, A.: Telegeoinfomatics: Location-based Computing and Services. CRC Press, Boca Raton, USA (2004)
Schiller, J., Voisard, A.: Location-based Services. Morgan Kaufmann, San Francisco (2004)
Busic, L.: Position Reporting Frequency for Location-Based Services. In: The 18th International Conference on Applied Electromagnetics, pp. 1-4 (2005)
Lee, J.S., Zeigler, B.P.: Space-based Communication Data Management in Scalable Distributed Simulation. Journal of Parallel and Distributed Computing 32, 336–365 (2002)
Google EarthTM, http://earth.google.com/
Bai, F., Narayanan, S., Helmy, A.: IMPORTANT: a framework to systematically analyze the Impact of Mobility on Performance of Routing Protocols for Adhoc Networks. In: INFOCOM 2003, pp. 825–835 (2003)
Akyildiz, I.F., Yi-Bing, L.: A new random walk model for PCS networks. IEEE Journal on Selected Areas in Communications 18(7), 1254–1260 (2000)
Liang, B., Haas, Z.J.: Predictive distance-based mobility management for PCS networks. In: INFOCOM 1999, pp. 1377–1384 (1999)
McClave, J., Benson, P., Sincich, T.: Statistics for Business and Economics, 9th edn. Prentice-Hall, Englewood Cliffs (2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, I.K., Jang, S.H., Lee, J.S. (2007). QLP-LBS: Quantization and Location Prediction-Based LBS for Reduction of Location Update Costs. In: Thulasiraman, P., He, X., Xu, T.L., Denko, M.K., Thulasiram, R.K., Yang, L.T. (eds) Frontiers of High Performance Computing and Networking ISPA 2007 Workshops. ISPA 2007. Lecture Notes in Computer Science, vol 4743. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74767-3_8
Download citation
DOI: https://doi.org/10.1007/978-3-540-74767-3_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74766-6
Online ISBN: 978-3-540-74767-3
eBook Packages: Computer ScienceComputer Science (R0)