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The techniques of triangulation in Euclidean geometry can be considered the base of a wide range of positioning techniques for sensor networks; where they deduced the sensor locations by using its geometrical characteristics. This work presents a completely different method based on machine learning, where the data is obtained directly from the natural coordinate systems through the readings provided by Bluetooth Low Energy Devices. The known locations of beacon nodes in the network and thedoi:10.14704/web/v17i1/a206 fatcat:2tnmhqaglvfedmbq2bv6e5atim