Sensor Data Abstraction Using Flexible Layered Slope Grid

An environmental monitoring application is designed to monitor and track various kinds of environmental phenomena such as water pollution and global warming.By collecting detected sensor data from the sensors installed at a target place, a monitoring system analyzes and predicts an environmental change.For smoothly answering a user query, a data abstraction model is designed to rapidly process an amount of sensor data by employing data filtering, data aggregation, and data summarization.In order to dynamically represent the different layer of sensor data in a region, we design FLSA (Flexible Layered Sensor Data Abstraction), which supports a flexible layer of SGSA (Slope Grid for Sensor Data Abstraction).When the sensor data is transmitted to a server, FLSA make some clusters to shows several layer of sensor data depending on sensor data gradient.Each cell of FLSA has a set of SGSA to represent each sensor data layer in the cell.This layered SGSA of FLSA is useful to represent a distributed sensor data in a cell.When an abstraction model is used to environmental monitoring, there is a trade-off between faster data processing and data representation.FLSA focuses on data representation to show detailed condition of a target place.