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.
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Jung, Y.J., Nittel, S. (2008). Geosensor Data Abstraction for Environmental Monitoring Application. In: Cova, T.J., Miller, H.J., Beard, K., Frank, A.U., Goodchild, M.F. (eds) Geographic Information Science. GIScience 2008. Lecture Notes in Computer Science, vol 5266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87473-7_11
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DOI: https://doi.org/10.1007/978-3-540-87473-7_11
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