Edge Computing Technique for a 87% Energy Saving for IoT Device Dedicated to Environmental Monitoring | IEEE Conference Publication | IEEE Xplore

Edge Computing Technique for a 87% Energy Saving for IoT Device Dedicated to Environmental Monitoring


Abstract:

In this paper, we propose a method based on polynomial regression to perform data compression at the edge in order to reduce the energy consumption of connected objects. ...Show More

Abstract:

In this paper, we propose a method based on polynomial regression to perform data compression at the edge in order to reduce the energy consumption of connected objects. Our study is based on the trade-off between data compression at the edge and minimizing the error on data reconstruction on the server. A polynomial regression was experienced on a two-year database of temperature measurements. The error percentage between our data compression and the real temperature evolution have been assessed to determine the most relevant polynomial regression. A digital implementation of the data compression on an Arduino was carried out with a set of data collected over three weeks of experiments. The analyzis of the results concluded about the efficiency of our method with a reduction of 87% energy with an acceptable accuracy of 0.2° C for temperature data collection.
Date of Conference: 21-24 February 2021
Date Added to IEEE Xplore: 28 June 2021
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Conference Location: Arequipa, Peru

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