Data underlying the publication: A zone-based Wi-Fi fingerprinting indoor positioning system for factory noise mapping

<strong># Dataset and scripts: A zone-based Wi-Fi fingerprinting indoor positioning system for factory noise mapping</strong><br><strong>## Overview</strong>This dataset supports research on zone-based Wi-Fi fingerprinting indoor positioning systems and factory noise mapping. It includes Wi-Fi RSSI (Received Signal Strength Indicator) data, noise levels, zone information, and timestamps, which can be used to develop models for indoor positioning, zone classification, and noise mapping within factory environments.<br><strong>## Dataset</strong>1. RSSI_rawdata_4days_sample200_37zone.csvRaw RSSI measurements collected across 37 zones over four days. Each row contains RSSI values from six access points (AP1-AP6) and the corresponding zone label.<br>Columns:<br>AP1-AP6: RSSI values (in dBm) for six Wi-Fi access points.label: Zone ID (integer) where the data was collected.Purpose:Used for training and evaluating machine learning models for indoor positioning and zone classification.<br>2. RSSI_fluctuate_6AP_Sample400.csvWi-Fi RSSI fluctuations collected from six access points (AP1-AP6) at the same location, with 400 samples to analyze signal stability.<br>Columns:<br>AP1-AP6: RSSI values (in dBm) for six access points.Purpose:Analyzed for signal stability and noise mapping, supporting indoor positioning and signal fluctuation evaluation in factory environments.<br><strong>## Scripts</strong>1. model.pyProcesses the RSSI_rawdata_4days_sample200_37zone.csv file and evaluates machine learning model performance for indoor positioning and zone classification.This script evaluates machine learning model performance as discussed in<em> Section 4.3</em> ("ML Model Performance Evaluation"). <br>2. logic.pyProcesses the RSSI_fluctuate_6AP_Sample400.csv file to evaluate Wi-Fi signal fluctuations, supporting signal stability analysis for noise mapping and positioning.This script analyzes Wi-Fi signal fluctuations as discussed in <em>Section 4.2</em> ("Wi-Fi Signal Analysis") of the paper.<br><strong>## Citation</strong>If you use this dataset, please cite:"A zone-based Wi-Fi fingerprinting indoor positioning system for factory noise mapping," Journal of Intelligent Manufacturing, 2025.<br><strong>## License</strong>This project is licensed under the MIT License. See the LICENSE file for details.<br>