Visualizations of Wireless Sensor Network Data

Visualizations of Wireless Sensor Network Data

Brian J. d’Auriol (Kyung Hee University, Korea), Sungyoung Lee (Kyung Hee University, Korea) and Young-Koo Lee (Kyung Hee University, Korea)
DOI: 10.4018/978-1-61350-101-6.ch302
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Abstract

Wireless sensor networks can provide large amounts of data that, when combined with pre-processing and data analysis processes, can generate large amounts of data that may be difficult to present in visual forms. Often, understanding of the data and how it spatially and temporally changes as well as the patterns suggested by the data are of interest to human viewers. This chapter considers the issues involved in the visual presentations of such data and includes an analysis of data set sizes generated by wireless sensor networks and a survey of existing wireless sensor network visualization systems. A novel model is presented that can include not only the raw data but also derived data indicating certain patterns that the raw data may indicate. The model is informally presented and a simulation-based example illustrates its use and potential.
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Background

The primary purpose of sensor networks is to acquire information about some environment. Sensor data is obtained both spatially and temporally, and for purposes of this chapter, is assumed to be transmitted to a computational base station for pre-processing and visual displaying. The first part of this section discusses the significant large data set sizes that wireless sensor networks impose upon visualization systems based upon a simple analysis. The second part discusses several wireless sensor applications in context of current day realistic data set sizes. And the third part discusses several existing sensor visualization systems.

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