Abstract
Location Alerting Service is a push service that informs users whether predefined conditions be satisfied based on periodic acquisitions of location data from mobile terminals for several purposes such as safety. Polling the location of terminal is one of the basic functional requirements of this service. In this paper, an analysis of the location polling technique will be given, we will propose an efficient location polling algorithm and present the results of experiments with this algorithm.
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.
References
Han, K.J.: Standardization and Research Development of Location-Based Service (LBS). In: Informationization Policy, 4th edn., vol. 10 (2003)
Korea IT Industry Promotion Agency: Location-Based Service (LBS), Software Market News of Korea IT Industry Promotion Agency (2003)
WaveMarket Incorporated: A System that Provides Alert-Based Service to Base Stations from Wireless Communication Network. Korea’s Public Patent Notification, Application # 10-2004-700651 (2004)
Min, K.W., Cho, D.S.: Moving Object Position Acquisition Technique for LBS. Thesis Magazine of Korea Information Processing Society 1 (2003)
Yun, J.K., Kim, D.O., Han, K.J.: Development of Real-Time Mobile GIS supporting the open Location Service. In: Proc. of Geotec Event Conference (2003)
Pfoser, D., Jensen, C.S.: Capturing the Uncertainty of Moving-Object Representations. In: SSD, pp. 111–132 (1999)
Wolfson, O., Chamberlain, S., Dao, S., Jiang, L., Mendez, G.: Cost and Imprecision in Modeling the Position of Moving Objects. In: Proceedings of the Fourteenth International Conference on Data Engineering, ICDE14 (1998)
OGC: OpenGIS Location Services (OpenLS): Core Services (2004)
Green, J., Betti, D., Davison, J.: Mobile Location Services: Market Strategies, White Paper., Ovum (2000)
Prasad Sistla, A., Wolfson, O., Chamberlain, S., Dao, S.: Querying the Uncertain Position of Moving Objects. In: Temporal Databases, Dagstuhl, pp. 310–337 (1997)
Yeh, T.-S., de Cambray, B.: Modeling Highly Variable Spatio-Temporal Data. PRiSM TR, 1994/50 (1994)
Guttman, A.: R-trees: a Dynamic Index Structure for Spatial Searching. In: Proceedings of the ACM-SIGMOD Conference on the Management of Data, pp. 47–57 (1984)
Forlizzi, L., Guting, R.H., Nardelli, E., Schneider, M.: A Data Model and Data Structures for Moving Objects Databases. In: SIGMOD Conference, pp. 319–330 (2000)
3GPP: TS 23.271 V 6.7.0 chapter 9.5 (2004)
Tao, Y., Papadias, D.: Efficient Historical R-trees. IEEE SSDBM (2001)
Theodoridis, Y., Vazirgiannis, M., Sellis, T.: Spatio-Temporal Indexing for Large Multimedia Applications. In: ICMCS (1996)
Pfoser, D., Jensen, C.S., Theodoridis, Y.: Novel Approaches to the Indexing of Moving Object Trajectories. In: VLDB (2000)
Pfoser, D., Theodoridis, Y., Jensen, C.S.: Indexing Trajectories of Moving Point Objects. CHOROCHRONOS Technical Report CH-99-03 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ahn, BI., Yang, SB., Jin, HC., Lee, JY. (2005). Location Polling Algorithm for Alerting Service Based on Location. In: Li, KJ., Vangenot, C. (eds) Web and Wireless Geographical Information Systems. W2GIS 2005. Lecture Notes in Computer Science, vol 3833. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11599289_10
Download citation
DOI: https://doi.org/10.1007/11599289_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30848-5
Online ISBN: 978-3-540-32423-2
eBook Packages: Computer ScienceComputer Science (R0)