Energy Saving in a Wireless Sensor Network by Data Prediction by using Self-Organized Maps
Adrien Russo, François Verdier, Benoît Miramond · Procedia Computer Science · 2018
We present in this paper a predictive analysis method based on a unsupervised type of machine learning algorithm : the kohonen maps. This model will be exploited in a network of sensors to reduce the number of transmission on the network. The aim of this paper is to present a learning algorithm and the result obtained in the context of smart city.