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

DOI:10.4121/fcdca0e0-8e96-410d-9601-3d7883827047.v2
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/fcdca0e0-8e96-410d-9601-3d7883827047

Datacite citation style

Xiao, Leicai; Ghafoorpoor Yazdi, Poorya; Thiede, Sebastian (2025): Data underlying the publication: A zone-based Wi-Fi fingerprinting indoor positioning system for factory noise mapping. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/fcdca0e0-8e96-410d-9601-3d7883827047.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 2 - 2025-05-16 (latest)
Version 1 - 2025-05-16

# Dataset and scripts: A zone-based Wi-Fi fingerprinting indoor positioning system for factory noise mapping


## Overview

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.


## Dataset

1. RSSI_rawdata_4days_sample200_37zone.csv

Raw 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.


Columns:


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.


2. RSSI_fluctuate_6AP_Sample400.csv

Wi-Fi RSSI fluctuations collected from six access points (AP1-AP6) at the same location, with 400 samples to analyze signal stability.


Columns:


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.


## Scripts

1. model.py

Processes 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 Section 4.3 ("ML Model Performance Evaluation").


2. logic.py

Processes 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 Section 4.2 ("Wi-Fi Signal Analysis") of the paper.


## Citation

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.


## License

This project is licensed under the MIT License. See the LICENSE file for details.


History

  • 2025-05-16 first online, published, posted

Publisher

4TU.ResearchData

Format

csv

Organizations

University of Twente, Faculty of Engineering Technology (ET), Department of Design, Production and Management

DATA

Files (5)