Browse > Article
http://dx.doi.org/10.9708/jksci.2010.15.5.023

An Indexing Scheme for Predicting Future-time Positions of Moving Objects with Frequently Varying Velocities  

Lim, Sung-Chae (동덕여자대학교 컴퓨터학과)
Publication Information
Journal of the Korea Society of Computer and Information / v.15, no.5, 2010 , pp. 23-31 More about this Journal
Abstract
With the advances in the information technology and mobile communications, we now face increasing demands for various services based on both of position tracking of moving objects and their efficient index scheme. Accordingly, the $TPR^*$-tree, which were proposed for efficiently tracking moving objects and predicting their positions in the future time, has drawn much intention. As the $TPR^*$-tree came from the R-tree that is suitable for indexing static objects, it does not support cheap update costs. Therefore, it seems to be very costly to index moving objects if there are frequent occurrences of node updates caused by continuously changing velocities and positions. If some moving objects with high velocities have node updates, in particular, then the $TPR^*$-tree may suffer from many unnecessary updates in the wide range of tree regions. To avoid such a problem, we propose a method that can keep fast-moving objects in the child nodes of the root node, thereby saving node update costs in the $TPR^*$-tree. To show our performance advantages and retaining $TPR^*$-tree features, we performed some performance experiments using a simulation technique.
Keywords
indexing; moving objects; $TPR^*$-tree;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 S. Prabhakar, Y. Xia, D. V. Kalashnikov, W. G. Aref, and S. E. Hambrusch, "Query Indexing and Velocity Constrained Indexing: Scalable Techniques for Continuous Queries on Moving Objects," IEEE Trans. on Computers, Vol. 51, No. 10, pp.1124-1140, 2002.   DOI   ScienceOn
2 Mohamed F. Mokbel, Xiaopeng Xiong, Walid G. Aref, "SINA: Scalable Incremental Processing of Continuous Queries in Spatio-temporal Databases," In Proc. of SIGMOD, pp. 623-634, 2004.
3 김상욱, 장민희, 임성채, "능동적 재조정: $TPR^{\ast}-$트리의 검색 성능 개선 방안," 정보처리학회 논문지 D, Vol.15-D, No. 4, 451-462쪽, 2008년 4월.   과학기술학회마을
4 Sang-Wook Kim, Min-Hee Jang, and Sungchae Lim, "Adjustment: An Approach for Improving the Performance of the $TPR^{\ast}-Tree$," In Proc. Database and Expert Systems Applications(DEXA), pp. 834-843, 2007.
5 Y. Tao, D. Papadias, and J. Sun, "The $TPR^{\ast}-Tree:$ An Optimized Spatio-Temporal Access Method for Predictive Queries," In Proc. Int'l. Conf. on Very Large Data Bases (VLDB), pp. 790-801, 2003.
6 Antonin Guttman, "R-trees: a dynamic index structure for spatial searching," In Proc. of ACM SIGMOD, pp. 606-615, 1989.
7 A. P. Sistla, O. Wolfson, S. Chamberlain, and S. Dao, "Modeling and Querying Moving Objects," In Proc. IEEE Int'l Conf. on Data Engineering(ICDE), pp. 422-432, 1997.
8 D. Pfoser, C. S. Jensen, and Y. Theodoridis, "Novel Approaches in Query Processing for Moving Objects," In Proc. Int'l. Conf. on Very Large Data Bases (VLDB), pp. 395-406, 2000.
9 S. Saltenis, C. S. Jensen, S. T. Leutenegger, and M. A. Lopez, "Indexing the Positions of Continuously Moving Objects," In Proc. ACM Int'l. Conf. on Management of Data(ACM SIGMOD), pp.331-342, 2000.
10 M. F. Mokbel, T. M. Ghanem, and W. G. Aref, "Spatio-Temporal Access Methods," Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, Vol. 26, No. 2, pp. 40-49, 2003.
11 권동섭, 이상준, 이석호, "R-트리에서 빈번한 변경 질의 처리를 위한 효율적인 기법," 한국정보과학회 논문지: 데이타베이스, 제 31권, 제 3호, 261-273쪽, 2004년 6월.   과학기술학회마을
12 Christian S. Jensen , Dan Lin , Beng Chin Ooi, "Query and Update Efficient B+-Tree Based Indexing of Moving Objects," In Proc. of VLDB, pp. 768-779, 2004.
13 N. Beckmann, H. Kriegel, R. Schneider, and B. Seeger, "The $R^{\ast}-tree:$ An Efficient and Robust Access Method for Points and Rectangles," In Proc. ACM Int'l. Conf. on Management of Data(ACM SIGMOD), pp. 322-331, 1990.
14 Y. Theodoridis, R. Silva, and M. Nascimento, "On the Generation of Spatiotemporal Datasets," In Proc. Int'l. Symp. on Spatial Databases, pp.147-164, 1999.
15 Mario A. Nascimento, Dieter Pfoser, Yannis Theodoridis, "Synthetic and Real Spatiotemporal Datasets," IEEE Data Eng. Bull. 26(2), pp.26-32, 2003.
16 O. Wolfson, B. Xu, S. Chamberlain, and L. Jiang, "Moving Objects Databases: Issues and Solutions," In Proc. Int'l. Conf. on Scientific and Statistical Database Management(SSDBM), pp. 111-122, 1998.
17 Kyriakos Mouratidis, Marios Hadjieleftheriou, Dimitris Papadias, "Conceptual Partitioning: An Efficient Method for Continuous Nearest Neighbor Monitoring," In Proc. of SIGMOD, pp.634-645, 2005.