title: Geosensor data representation using layered slope grids.
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.
authors.affiliation: Database/Bioinformatics Lab, Chungbuk National University, Cheongju 361-763, Korea. ymlee@dblab.chungbuk.ac.kr
authors.forename: Yongmi
authors.initials: Y
authors.lastname: Lee
authors.forename: Young Jin
authors.initials: YJ
authors.lastname: Jung
authors.forename: Kwang Woo
authors.initials: KW
authors.lastname: Nam
authors.forename: Silvia
authors.initials: S
authors.lastname: Nittel
authors.forename: Kate
authors.initials: K
authors.lastname: Beard
authors.forename: Keun Ho
authors.initials: KH
authors.lastname: Ryu
mesh_terms: D000465:Algorithms; D004784:Environmental Monitoring; D005844:Geology; D006801:Humans