Scalable continuous range monitoring of moving objects in symbolic indoor space

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2009, Pages 671-680

  Yang, Bin ^a,b   Lu, Hua ^a   Jensen, Christian S ^a  

^a AALBORG UNIVERSITY   (Denmark)

^b FUDAN UNIVERSITY   (China)

Author keywords

Continuous range; Indoor moving objects; Symbolic indoor space

Indexed keywords

CRITICAL DEVICE; EUCLIDEAN; EXPERIMENTAL STUDIES; INDOOR SPACE; LARGE POPULATION; MOVING OBJECTS; OBJECT MOVEMENTS; OUTDOOR SPACE; POSITIONING DEVICES; QUERY RESULTS; RANGE QUERY PROCESSING; SENSING DEVICES; SPATIAL NETWORK; SPEED CONSTRAINTS; SYNTHETIC AND REAL DATA; WAY FINDING;

SENSORS;

KNOWLEDGE MANAGEMENT;

EID: 74549215112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1645953.1646039     Document Type: Conference Paper

References (19)

1. Transport for London. http://www.tfl.gov.uk/.
2. P. Bahl and V. Padmanabhan. RADAR: An In-Building RF-Based User Location and Tracking System. In Proc. INFOCOM, pp.775-784, 2000.
3. C. Becker and F. Dürr. On Location Models for Ubiquitous Computing. Personal Ubiquitous Computing, 9(1):20-31, 2005.
4. L. Biveinis, S. Saltenis, C. S. Jensen. Main-Memory Operation Buffering for Efficient R-Tree Update. In Proc. VLDB, pp. 591-602, 2007.
5. R. Cheng, D. V. Kalashnikov, and S. Prabhakar, "Querying imprecise data in moving object environments," IEEE Trans. Knowl. Data Eng., vol. 16, no. 9, pp. 1112-1127, 2004.
6. +-tree Based Indexing of Moving Objects. In Proc. VLDB, pp. 768-779, 2004.
7. C .S. Jensen, H. Lu, and B. Yang. Graph Model Based Indoor Tracking. In Proc. MDM, pp. 122-131, 2009.
8. S. Feldmann, K. Kyamakya, A. Zapater and Z. Lue, An Indoor Bluetooth-Based Positioning System: Concept, Implementation and Experimental Evaluation, Proc. ICWN, pp. 109-113, 2003
9. J. Hightower and G. Borriello. Location Systems for Ubiquitous Computing. Computer, 34:57-66, 2001.
10. H. Hu, J. Xu, and D. L. Lee. A Generic Framework for Monitoring Continuous Spatial Queries over Moving Objects. In Proc. SIGMOD, pp. 479-490, 2005.
11. D. V. Kalashnikov, S. Prabhakar, and S. E. Hambrusch. Main Memory Evaluation of Monitoring Queries over Moving Objects. Distributed and Parallel Databases, 15(2):117-135, 2004.
12. Y. Ishikawa, Y. Iijima and J. X. Yu, "Spatial Range Querying for Gaussian-Based Imprecise Query Objects", ICDE, pp. 676-687, 2009.
13. M.-L. Lee, W. Hsu, C. S. Jensen, B. Cui, and K. L. Teo. Supporting Frequent Updates in R-trees: A Bottom-up Approach. In Proc. VLDB, pp. 608-619, 2003.
14. M. L. Yiu, N. Mamoulis, X. Dai, Y. F. Tao and M. Vaitis, "Efficient Evaluation of Probabilistic Advanced Spatial Queries on Existentially Uncertain Data", IEEE Trans. Knowl. Data Eng.,vol. 16, no. 1, pp. 108-122, 2009.
15. M. F. Mokbel, X. Xiong, and W. G. Aref. SINA: Scalable Incremental Processing of Continuous Queries in Spatio-temporal Databases. In Proc. SIGMOD, pp. 623-634, 2004.
16. 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. Computers, 51(10):1124-1140, 2002.
17. S. Saltenis, C. S. Jensen, S. T. Leutenegger, and M. A. Lopez. Indexing the Positions of Continuously Moving Objects. In Proc. SIGMOD, pp. 331-342, 2000.
18. Y. Tao, D. Papadias, and J. Sun. The TPR*-tree: An Optimized Spatio-temporal Access Method for Predictive Queries. In Proc. VLDB, pp. 790-801, 2003.
19. R. Want. RFID Explained: A Primer on Radio Frequency Identification Technologies. Morgan and Claypool, 2006.