Xuegang Huang
ABSTRACT
Density queries are of practical importance in many mobility related applications. In this paper, we employ the location sensors, which are placed in a geographical area and can only detect the amount of objects moving in vicinity, to estimate the dense regions of objects. Our approach partitions the region of interest into subregions, and deploys in each subregion both location sensors and a processing node that issues and answers density queries. Three algorithms are proposed to process density queries on those processing nodes. Their accuracy and efficiency are empirically evaluated.
- T. Brinkhoff. A Framework for Generating Network-Based Moving Objects. In GeoInformatica, (6)2, pp. 153--180, 2002. Google Scholar
Digital Library
- J. Considine, F. Li, G. Kollios, and J. Byers. Approximate Aggregation Techniques for Sensor Databases. In Proc. ICDE, pp. 449--460, 2004. Google ScholarDigital Library
- X. Huang and H. Lu. Snapshot Density Queries on Location Sensors. A DB Technical Report, 2007: www.cs.aau.dk/DBTR/DBPublications/DBTR-21.pdfGoogle Scholar
- T. He, P. Vicaire, T. Yan, et. al. Achieving Real-Time Target Tracking Using Wireless Sensor Networks. In IEEE Real Time Tech. and App. Symp. pp. 37--48, 2006. Google ScholarDigital Library
- M. Hadjieleftheriou, G. Kollios, D. Gunopulos, and V. J. Tsotras. On-Line Discovery of Dense Areas in Spatio-Temporal Databases. In Proc. SSTD, pp. 306--324, 2003.Google ScholarCross Ref
- C. S. Jensen, D. Lin, B. C. Ooi, and R. Zhang. Effective Density Queries on Continuously Moving Objects. In Proc. ICDE, pp. 71, 2006. Google ScholarDigital Library
- S. Madden and M. J. Franklin. Fjording the Stream: An Architecture for Queries over Streaming Sensor Data. In Proc. ICDE, pp. 555--566, 2002. Google ScholarDigital Library
Index Terms
- Snapshot density queries on location sensors
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