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Indexing the positions of continuously moving objects

Authors:

Simonas Šaltenis,

Christian S. Jensen,

Scott T. Leutenegger,

Mario A. LopezAuthors Info & Claims

ACM SIGMOD Record, Volume 29, Issue 2

Pages 331 - 342

https://doi.org/10.1145/335191.335427

Published: 16 May 2000 Publication History

Abstract

The coming years will witness dramatic advances in wireless communications as well as positioning technologies. As a result, tracking the changing positions of objects capable of continuous movement is becoming increasingly feasible and necessary. The present paper proposes a novel, R*-tree based indexing technique that supports the efficient querying of the current and projected future positions of such moving objects. The technique is capable of indexing objects moving in one-, two-, and three-dimensional space. Update algorithms enable the index to accommodate a dynamic data set, where objects may appear and disappear, and where changes occur in the anticipated positions of existing objects. A comprehensive performance study is reported.

References

[1]

R K. Agarwal et al. Efficient Searching with Linear Constraints. In Proc. of the PODS Conf., pp. 169-178 (1998).

Digital Library

[2]

E K. Agarwal, L. Arge, and J. Erickson. Indexing Moving Points. In Proc. of the PODS Conf., to appear (2OOO).

Digital Library

[3]

L. Arge, V. Samoladas, and J. S. Vitter. On Two- Dimensional Indexability and Optimal Range Search Indexing. In Proc. of the PODS Conf., pp. 346-357 (1999).

Digital Library

[4]

J. Basch, L. Guibas, and J. Hershberger. Data Structures for Mobile Data. In Proc. of the 8th ACM- SlAM Symposium on Discrete Algorithms, pp. 747-756 (1997).

Digital Library

[5]

N. Beckmann, H.-E Kriegel, R. Schneider, and B. Seeger. The R*-tree: An Efficient and Robust Access Method for Points and Rectangles. In Proc. of the ACM SIGMOD Conf., pp. 322-331 (1990).

Digital Library

[6]

B. Becker et al. An Asymptotically Optimal Multiversion B-Tree. The VLDB Journal 5(4): 264-275 (1996).

Digital Library

[7]

R. Bliujfit#, C. S. Jensen, S. Saltenis, and G. Slivinskas. R-tree Based Indexing of Now-Relative Bitemporal Data. In the Proc. of the 24th VLDB Conf., pp. 345- 356(1998).

Digital Library

[8]

J. Goldstein, R. Ramakrishnan, U. Shaft, and J.-B. Yu. Processing Queries By Linear Constraints. In Proc. of the PODS Conf., pp. 257-267 (1997).

Digital Library

[9]

O. Gtinther and E. Wong. A Dual Approach to Detect Polyhedral Intersections in Arbitrary Dimensions. BIT, 31(1): 3-14 (1991).

Digital Library

[10]

J. M. Hellerstein, J. F. Naughton, and A. Pfeffer. Generalized Search Trees for Database Systems. In Proc. of the VLDB Conf., pp. 562-573 (1995).

Digital Library

[11]

I. Kamel and C. Faloutsos. On Packing R-trees. In Proc. of the CIKM, pp. 490-499 (1993).

Digital Library

[12]

J. Karppinen. Wireless Multimedia Communications: A Nokia View. In Proc. of the Wireless Information Multimedia Communications Symposium, Aalborg University, (November 1999).

[13]

G. Kollios, D. Gunopulos, and V. J. Tsotras. On Indexing Mobile Objects. In Proc. of the PODS Conf., pp. 261-272 (1999).

Digital Library

[14]

W. Konhfiuser. Wireless Multimedia Communications: A Siemens View. In Proc. of the Wireless Information Multimedia Communications Symposium, Aalborg University, (November 1999).

[15]

A. Kumar, V. J. Tsotras, and C. Faloutsos. Designing Access Methods for B itemporal Databases. IEEE TKDE, 10(1): 1-20 (1998).

Digital Library

[16]

S. T. Leutenegger and M. A. Lopez. The Effect of Buffering on the Performance of R-Trees. In Proc. of the ICDE Conf., pp. 164-171 (1998).

Digital Library

[17]

J. Moreira, C. Ribeiro, and J. Saglio. Representation and Manipulation of Moving Points: An Extended Data Model for Location Estimation. Cartography and Geographical Information Systems, to appear.

[18]

B.-U. Pagel, H.-W. Six, H. Toben, and R Widmayer. Towards an Analysis of Range Query Performance in Spatial Data Structures. In Proc. of the PODS Conf., pp. 214-221 (1993).

Digital Library

[19]

H. Pedersen. Alting bliver on-line. BOrsen Informatik, p. 14, September 28, 1999. (In Danish)

[20]

D. Pfoser and C. S. Jensen. Capturing the Uncertainty of Moving-Object Representations. In Proc. of the SSDBM Conf., pp. 111-132 (1999).

Digital Library

[21]

D. Pfoser, Y. Theodoridis, and C. S. Jensen. Indexing Trajectories of Moving Point Objects. Chorochronos Tech. Rep. CH-99-3, June 1999.

[22]

H. Samet. The Design and Analysis of Spatial Data Structures. Addison-Wesley, Reading, MA, 1990.

Digital Library

[23]

S. Saltenis, C. S. Jensen, S. T. Leutenegger, and M. A. Lopez. Indexing the Positions of Continuously Moving Objects. Technical Report R-99-5009, Department of Computer Science, Aalborg University (1999).

[24]

S. Saltenis and C. S. Jensen. R-Tree Based Indexing of General Spatio-Temporal Data. TimeCenter Tech. Rep. TR-45 (1999).

[25]

A. Schieder. Wireless Multimedia Communications: An Ericsson View. In Proc. of the Wireless Information Multimedia Communications Symposium, Aalborg University, (November 1999).

[26]

J. Tayeb, O. Ulusoy, and O. Wolfson. A Quadtree Based Dynamic Attribute Indexing Method. The Computer Journal, 41(3): 185-200 (1998).

[27]

O. Wolfson, B. Xu, S. Chamberlain, and L. Jiang. Moving Objects Databases: Issues and Solutions. In Proc. of the SSDBM Conf., pp. 111-122 (1998).

Digital Library

[28]

O. Wolfson, A. R Sistla, S. Chamberlain, and Y. Yesha Updating and Querying Databases that Track Mobile Units. Distributed and Parallel Databases 7(3): 257- 387 (1999).

Digital Library

Cited By

Zhao XLam KKuo T(2024)Indexing spatiotemporal trajectory data streams on key-value storageComputing10.1007/s00607-024-01304-y106:8(2707-2735)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1007/s00607-024-01304-y
Safaee SMirabi MRahmani ASafaei A(2023)A distributed B+Tree indexing method for processing range queries over streaming dataCluster Computing10.1007/s10586-023-04015-927:2(1251-1274)Online publication date: 7-May-2023
https://dl.acm.org/doi/10.1007/s10586-023-04015-9
Chen KLi CLu GLi JZhang T(2021)An Adaptive Parallel Method for Indexing Transportation Moving ObjectsComplexity10.1155/2021/66457782021(1-11)Online publication date: 22-Feb-2021
https://doi.org/10.1155/2021/6645778
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Index Terms

Indexing the positions of continuously moving objects
1. Information systems
  1. Information retrieval
    1. Document representation
  2. Information systems applications

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Information & Contributors

Information

Published In

cover image ACM SIGMOD Record

ACM SIGMOD Record Volume 29, Issue 2

June 2000

609 pages

ISSN:0163-5808

DOI:10.1145/335191

Editors:
Weidong Chen
Southern Methodist Univ., Dallas, TX
,
Jeffrey Naughton
Univ. of Wisconsin-Madison, Madison
,
Philip A. Bernstein
Microsoft

Issue’s Table of Contents

SIGMOD '00: Proceedings of the 2000 ACM SIGMOD international conference on Management of data
May 2000
604 pages
ISBN:1581132174
DOI:10.1145/342009
Chairmen:
Maggie Dunham
Southern Methodist Univ.
,
Jeffrey F. Naughton
Univ. of Wisconsin-Madison
,
Weidong Chen
Southern Methodist Univ.
,
Nick Koudas
AT &T Labs

Copyright © 2000 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 May 2000

Published in SIGMOD Volume 29, Issue 2

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Cited By

Zhao XLam KKuo T(2024)Indexing spatiotemporal trajectory data streams on key-value storageComputing10.1007/s00607-024-01304-y106:8(2707-2735)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1007/s00607-024-01304-y
Safaee SMirabi MRahmani ASafaei A(2023)A distributed B+Tree indexing method for processing range queries over streaming dataCluster Computing10.1007/s10586-023-04015-927:2(1251-1274)Online publication date: 7-May-2023
https://dl.acm.org/doi/10.1007/s10586-023-04015-9
Chen KLi CLu GLi JZhang T(2021)An Adaptive Parallel Method for Indexing Transportation Moving ObjectsComplexity10.1155/2021/66457782021(1-11)Online publication date: 22-Feb-2021
https://doi.org/10.1155/2021/6645778
Mondal AKakkar APadhariya NMohania M(2021)Efficient Indexing of Top-k Entities in Systems of Engagement with Extensions for Geo-tagged EntitiesData Science and Engineering10.1007/s41019-021-00173-1Online publication date: 11-Oct-2021
https://doi.org/10.1007/s41019-021-00173-1
Jiang WLi GAn JSun YChen HChen X(2020)A Survey of Moving Objects kNN Query in Road Network EnvironmentArtificial Intelligence in China10.1007/978-981-15-0187-6_75(629-636)Online publication date: 1-Feb-2020
https://doi.org/10.1007/978-981-15-0187-6_75
Hamdi WFaiz S(2020)Distributing Data in Real Time Spatial Data WarehouseAlgorithms and Architectures for Parallel Processing10.1007/978-3-030-60239-0_1(3-13)Online publication date: 2-Oct-2020
https://dl.acm.org/doi/10.1007/978-3-030-60239-0_1
Liu YPeng MShou G(2019)Mobile Edge Computing-Enhanced Proximity Detection in Time-Aware Road NetworksIEEE Access10.1109/ACCESS.2019.29373377(167958-167972)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2937337
Alamri STaniar DNguyen KAlamri A(2019)C-tree: efficient cell-based indexing of indoor mobile objectsJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-019-01397-wOnline publication date: 17-Jul-2019
https://doi.org/10.1007/s12652-019-01397-w
Xu JGüting RZheng YWolfson O(2019)Moving Objects with Transportation Modes: A SurveyJournal of Computer Science and Technology10.1007/s11390-019-1938-434:4(709-726)Online publication date: 19-Jul-2019
https://doi.org/10.1007/s11390-019-1938-4
Mahmood APunni SAref W(2019)Spatio-temporal access methodsGeoinformatica10.1007/s10707-018-0329-223:1(1-36)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1007/s10707-018-0329-2
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