Abstract
In dynamic spatio-temporal environments where objects may continuously move in space, maintaining consistent information about the location of objects and processing motion-specific queries is a challenging problem. In this paper, we focus on indexing and query processing techniques for mobile objects. Specifically, we develop a classification of different types of selection queries that arise in mobile environments and explore efficient algorithms to evaluate them. Query processing algorithms are developed for both native space and parametric space indexing techniques. A performance study compares the two indexing strategies for different types of queries.
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
B. Becker, S. Gschwind, T. Ohler, B. Seeger, and P. Widmayer. An asymptotically optimal multiversion b-tree. VLDB Journal, 5(4):264–275, 1996.
N. Beckmann, H.-P. Kriegel, R. Schneider, and B. Seeger. The R*-tree: an efficient and robust access method for points and rectangles. In ACM SIGMOD Int’l Conf. on Management of Data, pages 322–331, May 1990.
A. Guttman. R-tree: a dynamic index structure for spatial searching. In ACM SIGMOD Int’l Conf. on Management of Data, pages 47–57, June 1984.
G. R. Hjaltason and H. Samet. Ranking in spatial databases. In Int’l Symposium on Large Spatial Databases, 1995.
G. Kollios, D. Gunopulos, and V. J. Tsotras. On indexing mobile objects. In Symposium on Principles of Database Systems, 1999.
D. Lomet and B. Salzberg. The hB-Tree: A multiattribute indexing method with good guaranteed performance. ACM Trans. on Database Systems, 15(4):625–658, 1990.
D. Lomet and B. Salzberg. The performance of a multiversion access method. In ACM SIGMOD Int’l Conf. on Management of Data, 1990.
J. A. Orenstein. A comparison of spatial query processing techniques for native and parameter spaces. In ACM SIGMOD Int’l Conf. on Management of Data, pages 343–352, 1990.
K. Porkaew. Database support for similarity retrieval and querying mobile objects. Technical report, PhD thesis, University of Illinois at Urbana-Champaign, 2000.
J. T. Robinson. The k-d-b-tree: A search structure for large multidimensional dynamic indexes. In ACM SIGMOD Int’l Conf. on Management of Data, 1981.
N. Roussopoulos, S. Kelley, and F. Vincent. Nearest neighbor queries. In ACM SIGMOD Int’l Conf. on Management of Data, 1995.
S. Saltenis, C. Jensen, S. Leutenegger, and M. Lopez. Indexing the positions of continuously moving objects. In ACM SIGMOD Int’l Conf. on Management of Data, 2000.
B. Salzberg and V. Tsotras. Comparison of access methods for time-evolving data. ACM Computing Surveys, 31(2):158–221, 1999.
H. Samet. The quadtree and related hierarchial data structures. ACM Computing Surveys, 16(2):187–260, 1984.
T. Sellis, N. Roussopoulos, and C. Faloutsos. The R+ tree: A dynamic index for multi-dimensional objects. In Int’l Conf. on Very Large Data Bases, 1987.
J. Tayeb, O. Ulusoy, and O. Wolfson. A quadtree based dynamic attribute indexing method. Computer Journal, 41(3):185–200, 1998.
Y. Theodoridis, T. Sellis, A. N. Papadopoulos, and Y. Manolopoulos. Specifications for efficient indexing in spatiotemporal databases. In Int’l Conf. on Scientific and Statistical Database Management, pages 123–132, 1998.
O. Wolfson, B. Xu, S. Chamberlain, and L. Jiang. Moving objects databases: Issues and solutions. In Int’l Conf. on Scientific and Statistical Database Management, pages 111–122, 1998.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Porkaew, K., Lazaridis, I., Mehrotra, S. (2001). Querying Mobile Objects in Spatio-Temporal Databases. In: Jensen, C.S., Schneider, M., Seeger, B., Tsotras, V.J. (eds) Advances in Spatial and Temporal Databases. SSTD 2001. Lecture Notes in Computer Science, vol 2121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47724-1_4
Download citation
DOI: https://doi.org/10.1007/3-540-47724-1_4
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42301-0
Online ISBN: 978-3-540-47724-2
eBook Packages: Springer Book Archive