Geosensor Data Abstraction for Environmental Monitoring Application

  • Authors:
  • Young Jin Jung;Silvia Nittel

  • Affiliations:
  • Spatial Information and Engineering, University of Maine, USA;Spatial Information and Engineering, University of Maine, USA

  • Venue:
  • GIScience '08 Proceedings of the 5th international conference on Geographic Information Science
  • Year:
  • 2008

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Abstract

Environmental observation applications are designed for monitoring phenomena using heterogeneous sensor data types and for providing derived and often integrated information. To effectively handle such a large variety of different sensors, both in scale and type and data volume, we propose a geosensor abstraction for large-scale geosensor networks. Our SGSA(Slope Grid for Sensor Data Abstraction) represents collected data in single grid-based layers, and allows for summarizing the measured data in various integrated grid layers. Within each cell, a slope vector is used to represents the trend of the observed sensor data. This slope is used as a simplifying factor for processing queries over several sensor types. To handle dynamic sensor data, the proposed abstraction model also supports rapid data update by using a mapping table. This model can be utilized as a data representation model in various geosensor network applications.