A model-based back-end for air quality data management

In this paper we present a hybrid model for real-time query processing over data stream collected by mobile air quality sensors. First, we introduce a novel indexing scheme for representing air quality and use it for generating and evaluating a static model over a yearly dataset. Then, this model is combined with a dynamic nearest-neighbor approach for real-time updates, and implemented into the Global Sensor Network (GSN) middleware, with added support for model queries.


Published in:
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication - UbiComp '13 Adjunct, 1143-1150
Presented at:
2013 ACM conference on Pervasive and ubiquitous computing - UbiComp '13, Zurich, Switzerland, 08-12 09 2013
Year:
2013
Publisher:
New York, New York, USA, ACM Press
ISBN:
978-1-4503-2215-7
Keywords:
Laboratories:


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 Record created 2013-11-14, last modified 2018-01-28

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