Federated ASIA dataset

The dataset provided is included in a research work entitled: Federated learning methodology for indoor location systems in multi-layer architecture. In this work, a classifier is trained to generate a model that is able to locate a person within an enclosed space. For training, samples were collected three times for 15 minutes, for a total of 45 minutes.  Each subset of data is composed of the following fields:label: name of the label for such samples (bedroom, bathroom, outside, not defined).timestamp: time at which the sample was collected.mac: physical address of the anchor.sensor_id: unique identifier associated to the anchor.sensor_name: name of the device.rssi: RSSI value collected by the anchor.