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Modeling and Querying Mobile Location Sensor Data

Authors:
Iulian Sandu Popa
Karine Zeitouni

Keywords: spatiotemporal databases; modeling; moving objects; query language; sensor data flows

Abstract:
Moving objects databases are an important research topic in recent years. A lot of work dealt with modeling, querying and indexing objects that move freely or in networks. However, a moving object – such as a vehicle - could report some measures related to its state or to its environment, which are sensed throughout his movement. Managing such data is of major interest for some applications such as analyzing driving behavior or reconstructing the circum-stances of an accident in road safety, or identifying, by means of a vibration sensor, the defects along a railway in maintenance. However, this management is not covered by the existing approaches. In this paper, we propose a new data model and a language to handle mobile location sensor data. To this end, we introduce the concept of spatial profile of a measure to capture the measure variability in space, along with specific operations that permit to analyze the data. We also describe their implementation using object-relational paradigm.

Pages: 222 to 231

Copyright: Copyright (c) IARIA, 2012

Publication date: January 30, 2012

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-178-6

Location: Valencia, Spain

Dates: from January 30, 2012 to February 4, 2012