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

  • Authors:
  • Erol Can Un;Julien Eberle;Yongsung Kim;Karl Aberer

  • Affiliations:
  • EPFL, Lausanne, Switzerland;EPFL, Lausanne, Switzerland;EPFL, Lausanne, Switzerland;EPFL, Lausanne, Switzerland

  • Venue:
  • Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
  • Year:
  • 2013

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Abstract

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.