Modeling and Querying Mobile Location Sensor Data

Iulian Sandu Popa 1, 2 Karine Zeitouni 2
1 SMIS - Secured and Mobile Information Systems
PRISM - Parallélisme, Réseaux, Systèmes, Modélisation, UVSQ - Université de Versailles Saint-Quentin-en-Yvelines, Inria Paris-Rocquencourt, CNRS - Centre National de la Recherche Scientifique : UMR8144
Abstract : A lot of work in moving object databases area dealt with modeling, querying and indexing. However, a moving object - such as a vehicle - could be equipped with sensors that report some measures related to its state or to its environment. Managing such data is of major interest for some applications such as analyzing driving behavior in road safety, or analyzing pollution by mean of mobile (vehicles or persons) probes. However, existing approaches manage only the location. In this paper, we propose a new data model and a language that handle mobile location sensor data. At this end, we introduce the concept of measure profile to capture the measure variability in space, along with specific operations that permit to analyze the data. We also describe their implementation within an object-relational DBMS.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-00768335
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Submitted on : Friday, December 21, 2012 - 11:55:11 AM
Last modification on : Friday, May 25, 2018 - 12:02:04 PM

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Iulian Sandu Popa, Karine Zeitouni. Modeling and Querying Mobile Location Sensor Data. The Fourth International Conference on Advanced Geographic Information Systems, Applications, and Services (GEOProcessing 2012), Jan 2012, Valencia, Spain. 18pp. ⟨hal-00768335⟩

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