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Measurement Analysis of the Live E! Sensor Network: Spatial-Temporal Correlations and Efficient Data Aggregation

Abstract : 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 amongst stations, and for a given station, amongst sensors. Finally, we investigate a data aggregation algorithm, based on polynomial regression, and we show how it can reduce significatively the overall data traffic.
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https://hal.inria.fr/inria-00398802
Contributor : Eric Fleury <>
Submitted on : Wednesday, June 24, 2009 - 8:33:30 PM
Last modification on : Sunday, November 22, 2020 - 7:48:07 PM

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  • HAL Id : inria-00398802, version 1

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Elyes Ben Hamida, Hideya Ochiai, Hiroshi Esaki, Pierre Borgnat, Patrice Abry, et al.. Measurement Analysis of the Live E! Sensor Network: Spatial-Temporal Correlations and Efficient Data Aggregation. IEEE 3rd International Workshop on Practical Applications of Sensor Networking, Jul 2009, Seattle, United States. ⟨inria-00398802⟩

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