Measurement Analysis of the Live E! Sensor Network: Spatial-Temporal Correlations and Data Aggregation
2009
The (Japanese) Live E! project consists of a large sensor network of spatially distributed weather stations measuring different environmental quantities such as temperature, humidity, pressure, etc. Our goal is to conduct the first analysis on this huge data set of the structures of correlations both in time and space observed on data, for given quantity among stations, and for a given station, among sensors. Finally, we investigate a data aggregation algorithm, based on polynomial regression, and we show how it can reduce significatively the overall data traffic.
Keywords:
- Statistics
- Distributed computing
- Spatial correlation
- Atmospheric temperature
- Computer science
- Wireless sensor network
- Weather forecasting
- Temperature measurement
- Polynomial regression
- Telecommunications
- Time series
- Spatial distribution
- Polynomial
- Data aggregator
- Real-time computing
- Data compression
- Decomposition of time series
- Correction
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