Conference Proceeding Article
We consider an environment of numerous moving objects, equipped with location-sensing devices and capable of communicating with a central coordinator. In this setting, we investigate the problem of maintaining hot motion paths, i.e., routes frequently followed by multiple objects over the recent past. Motion paths approximate portions of objects' movement within a tolerance margin that depends on the uncertainty inherent in positional measurements. Discovery of hot motion paths is important to applications requiring classification/profiling based on monitored movement patterns, such as targeted advertising, resource allocation, etc. To achieve this goal, we delegate part of the path extraction process to objects, by assigning to them adaptive lightweight filters that dynamically suppress unnecessary location updates and, thus, help reducing the communication overhead. We demonstrate the benefits of our methods and their efficiency through extensive experiments on synthetic data sets.
Approximation theory, Data structures, Problem solving, Search engines, Uncertainty analysis
Computer Sciences | Databases and Information Systems
Data Management and Analytics
Advances in Database Technology EDBT 2008: 11th International Conference on Extending Database Technology, Nantes, France, March 25 - 29, 2008: Proceedings
City or Country
SACHARIDIS, Dimitris; Patroumpas, Kostas; Terrovitis, Manolis; Kantere, Verena; Potamias, Michalis; MOURATIDIS, Kyriakos; and Sellis, Timos.
On-Line Discovery of Hot Motion Paths. (2008). Advances in Database Technology EDBT 2008: 11th International Conference on Extending Database Technology, Nantes, France, March 25 - 29, 2008: Proceedings. 392-403. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/403
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