Abstract
Wayfinding in unfamiliar indoor and outdoor environments are particularly intricate problems of all the people’s activities. The development of assistive technologies to aid wayfinding is hampered by the lack of reliable and efficient methods providing location information in the environment. Location-based services (LBS) are systems which support wayfinding task as process. They do not support landmark-based wayfinding although researchers agreed on its efficient role. In addition, one of the challenges of LBS is the continuous query which guarantees the performance of the system. In this paper, we propose an efficient method for 3D continuous k-NN query. Our method is based on three ideas, (1) The dynamic mobile objects have 3D coordinate space (x,y,t) and static landmark with 2D spaces (x,y) (2) selecting landmarks which are the nearest neighbor of one or more continuous queries, (3) indexing the queries rather than the landmarks. Through some experimental evaluation we demonstrate that our method is applicable on increasing runtime and decreasing power consumption of mobile devices.
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References
Allen, G.: Spatial abilities, cognitive maps, and wayfinding - bases for individual differences in spatial cognition and behavior. In: Golledge, R. (Ed.), Wayfinding Behavior Cognitive Mapping and Other Spatial Processes, Johns Hopkins University Press, Baltimore, pp. 46—80 (1999).
Baus, J. Krger, A., Wahlster, W.: A Resource-Adaptive Mobile Navigation System, International Conference on Intelligent User Interfaces IUI02, January 13-16, 2002, San Francisco. http://citeseer.ist.psu.edu/baus02resourceadaptive.html (2002).
Brenner, C. and Elias, B.: Extracting Landmarks for Car Navigation Systems using existing GIS databases and laser scanning. Proceeding ISPRS Workshop on Photogrammetric Image Analysis, Munchen, Germany, (2003).
Caduff, D., Timpf, S.: The Landmark Spider: Representing Landmark Knowledge for Wayfinding Tasks. In: Barkowsky T, Freksa C, Hegarty M, Lowe R (eds) Reasoning with Mental and External Diagrams: Computational Modeling and Spatial Assistance, AAAI Press, Stanford, CA USA, pp 30—35 (2005).
Cai, Y., Hua, K. and Cao, G.: Processing Range-Monitoring Queries on Heterogeneous Mobile Objects. In IEEE Int’l Conference on Mobile Data Management (MDM’04), pp. 27–38, January (2004).
Gedik, B. and Liu, L., MobiEyes: Distributed Processing of Continuously Moving Queries on Moving Objects in a Mobile System. In EDBT (2004).
Guttman, A. R-tree: A Dynamic Index Structure for spatial Searching. In SIGMOD ‘84, Proceedings of the ACM SIGMOD Conference. ACM Press (1984).
G. R. Hjaltason and H. Samet. Distance Browsing in Spatial Databases. TODS, vol. 24, No.2, pp. 265–318, June (1999).
Kim, K., Cha, S. K. and Kwon. K.: Optimizing Multidimensional Index Trees for Main Memory Access. In Proc. of SIGMOD (2000).
Kolahdouzan, M.R. and Shahabi, S.: Continuous K Nearest Neighbor Queries in Spatial Network Databases C. Proceedings of the Second Workshop on Spatio-Temporal Database Management (STDBM’04),Toronto, Canada, August (2004).
Lin, D., Jensen, C. S., Ooi, B. C. and Saltenis, S.: Efficient Indexing of the Historical, Present, and Future Positions of Moving Objects," in Proceedings of MDM (2005).
Luyten, K. Coninx, K.: ImogI: Take Control over a Context-aware Electronic Mobile Guide for Museums (2004).
Lynch, K.: The Image of the City. MIT Press, Cambridge (1960).
Merriam-Webster: Merriam-Webster’s Collegiate Dictionary. Merriam-Webster, Inc (2001).
Nievergelt, J., Hinterberger, H., and Sevcik, K., The grid file: An adaptable, Symmetric Multikey File Structure. ACM Transactions on Database Systems, vol.9, pp.38–71 (1984).
Pfoser, D., Jensen, C.S and Theodoridis, Y.: Novel Approaches to the Indexing of Moving Object Trajectories. Proceedings of the 26th International Conference on Very Large Databases, Cairo, Egypt (2000).
Prabhakar, S., Xia, Y. Kalashnikov, D. V., Aref, W. G. and Hambrusch. S. E.: Query Indexing and Velocity Constrained Indexing: Scalable Techniques for Continuous Queries on Moving Objects. IEEE Trans. Computers, Vol.51, No.10, pp. 1124–1140 (2002).
Raubal, M.: Human Wayfinding in Unfamiliar Buildings: A Simulation with a Cognizing Agent, at the Department of Geography, University of Zurich, Switzerland (2001).
Raubal, M. and Winter, S.: Enriching wayfinding instructions with local landmarks. Egenhofer, M. and Mark, D. (Eds.), Geographic Information Science, Lecture Notes in Computer Science 2002, LNCS vol. 2478, pp. 243—259. Springer (2002).
Saltenis, S., Jensen, C. S. and Leutenegger, S. T. and Lopez, M. A.: Indexing the Positions of Continuously Moving Objects. In SIGMOD Conference (2000).
Sistla, P., Wolfson, O., Chamberlain, S, and Dao, S.: Modeling and Querying Moving objects, in: Proceedings 13th ICDE Conference, pp. 422–432 (1997).
Shekhar S. and Chawla, S.: Spatial Databases: A Tour, Prentice Hall (2003).
Stojanovic, D., Papadopoulos, A.N, Predic, B., Djordjevic-Kajan, S. and Nanopoulos, A.: Continuous Range Monitoring of Mobile Objects in Road Networks, J. Data & Knowledge Engineering, 64, pp. 77–100 (2008).
Sun, J., Papadias, D., Tao, Y. and Liu, B.: Querying about the Past, the Present, and the Future in Spatio-Temporal Databases. ICDE, pp. 202–213 (2004).
Thakkar, S. and Samet. H, Spatial Data Structures, http://infolab.usc.edu/csci599/Fall2001/note/SpatialDataStructures.ppt (2001).
Xia, Y. and Prabhakar, S.: Q+Rtree: Efficient Indexing for Moving Object Database. Database Systems for Advanced Application. Proceedings. Eighth International Conference on Volume, Issue, pp. 175 –182 (2003).
Zhang, W., Li, J. and Pan H.: Processing Continuous k -Nearest Neighbor Queries in Location- Dependent Application, J. Computer Science and Network Security, 6 No.3 (2006).
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Samany, N., Delavar, M.R., Saeedi, S., Aghataher, R. (2009). 3D Continuous K-NN Query for a Landmark-based Wayfinding Location-based Service. In: Lee, J., Zlatanova, S. (eds) 3D Geo-Information Sciences. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87395-2_17
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DOI: https://doi.org/10.1007/978-3-540-87395-2_17
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