A correction was published on 22 April 2013, see Sensors 2013, 13(4), 5404-5405.

Sensors 2012, 12(12), 17074-17093; doi:10.3390/s121217074

Geosensor Data Representation Using Layered Slope Grids

1email, 2,* email, 3email, 4email, 4email and 1email
Received: 17 October 2012; in revised form: 4 December 2012 / Accepted: 6 December 2012 / Published: 12 December 2012
(This article belongs to the Section Sensor Networks)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Environmental monitoring applications are designed for supplying derived and often integrated information by tracking and analyzing phenomena. To determine the condition of a target place, they employ a geosensor network to get the heterogeneous sensor data. To effectively handle a large volume of sensor data, applications need a data abstraction model, which supports the summarized data representation by encapsulating raw data. For faster data processing to answer a user’s queries with representative attributes of an abstracted model, we propose such a data abstraction model, the Layered Slopes in Grid for Sensor Data Abstraction (LSGSA), which is based on the SGSA. In a single grid-based layer for each sensor type, collected data is represented by slope directional vectors in two layered slopes, such as height and surface. To answer a user query in a central monitoring server, LSGSA is used to reduce the time needed to extract event features from raw sensor data as a preprocessing step for interpreting the observed data. The extracted features are used to understand the current data trends and the progress of a detected phenomenon without accessing raw sensor data.
Keywords: sensor data abstraction; sensor data representation; geosensor network; slope grid; GIS; surface model
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  • Correction

    A Correction was published on 22 April 2012 http://www.mdpi.com/1424-8220/13/4/5404 (PDF, 184 KB)

    There are four mistakes at the table derived from the (c) surface slope of Figure 4 in [1]. The direction numbers are derived according to (a) slope directions. The overall direction number should be changed from 6 to 4. The distinct direction number between the 1st and 2nd subcells should be changed from 0 to 8. The distinct direction number between the 2nd and 3rd subcells should be changed from 8 to 4. The distinct direction number between the 3rd and 4th subcells should be changed from 4 to 6. The authors would like to apologize for any inconvenience this may have caused to the readers of this journal.

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MDPI and ACS Style

Lee, Y.; Jung, Y.J.; Nam, K.W.; Nittel, S.; Beard, K.; Ryu, K.H. Geosensor Data Representation Using Layered Slope Grids. Sensors 2012, 12, 17074-17093.

AMA Style

Lee Y, Jung YJ, Nam KW, Nittel S, Beard K, Ryu KH. Geosensor Data Representation Using Layered Slope Grids. Sensors. 2012; 12(12):17074-17093.

Chicago/Turabian Style

Lee, Yongmi; Jung, Young J.; Nam, Kwang W.; Nittel, Silvia; Beard, Kate; Ryu, Keun H. 2012. "Geosensor Data Representation Using Layered Slope Grids." Sensors 12, no. 12: 17074-17093.

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