UJALoc-BLE-NLOS: Real-World BLE Dataset for Indoor Localization under NLOS Conditions

UJALoc-BLE-NLOS: Real-World BLE Dataset for Indoor Localization under NLOS Conditions Abstract This dataset contains Received Signal Strength Indicator (RSSI) measurements collected from 8 Bluetooth Low Energy (BLE) beacons distributed within a conventional multi-room dwelling. The data is designed to support research in indoor localization, fingerprinting techniques, and signal propagation modeling under real-world Non-Line-of-Sight (NLOS) conditions. It includes measurements from 28 distinct reference points, providing a comprehensive mapping of the radio frequency environment in a realistic residential scenario with obstacles, walls, and multipath effects. Dataset Structure Measurement files: p1.csv - p28.csv: Individual files corresponding to each measurement point (1 to 28). Each file contains raw RSSI captures from all detectable beacons at that specific location. plane.pdf: A detailed floor plan showing the physical coordinates/locations of the 8 beacons and the 28 measurement points. Each record in the CSV files follows this structure: mac: Physical MAC address of the detected BLE beacon. time: Unix timestamp (milliseconds) of the measurement. dato: Received Signal Strength Indicator (RSSI) value in dBm. Hardware and Configuration The setup consists of 8 BLE beacons with varying transmission power (TX Power) settings to provide diverse signal characteristics for modeling. The specific hardware devices and their configuration are described in detail in Díaz-Jiménez, D., López Ruiz, J. L., Cuevas-Martínez, J. C., Torres-Sospedra, J., Navarro, E. A., & Espinilla Estévez, M. (2025). BLE-Based Custom Devices for Indoor Positioning in Ambient Assisted Living Systems: Design and Prototyping. Sensors, 25(20), 6499. https://doi.org/10.3390/s25206499. MAC Address Beacon ID Power (dBm) Advertising Channel Samples F2:34:2D:BE:43:1E 1 -4 37 and 38 4,019 C6:8C:6E:50:1C:66 2 -4 37 and 38 2,896 CA:FA:83:43:90:6A 3 4 37 and 38 4,136 F2:7C:81:CB:BB:5B 4 8 37 and 38 4,267 C5:C1:22:55:5A:69 5 4 37 and 38 4,090 CB:F4:EA:1D:3F:31 6 4 37 and 38 4,177 DB:36:66:4B:BD:C4 7 4 37 and 38 4,176 EC:0F:79:C9:CB:8A 8 4 37 and 38 4,217 Total dataset volume: 31,978 samples. Data was collected by placing a receiving device at each of the 28 points marked on the map. At each point, the receiver captured advertising packets from all beacons for a fixed duration, capturing the temporal variance of the RSSI signal. License and Citation This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). If you use this dataset in your research, please cite it as: UJALoc-BLE-NLOS: Real-World BLE Dataset for Indoor Localization under NLOS Conditions Note: For further details on the spatial distribution, please refer to the included 'plane.pdf'. Acknowledgements This dataset has been partially supported by grant PDC2023-145863-I00 funded by MICIU/AEI/10.13039/501100011033, and by "European Union NextGenerationEU/PRTR".

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Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-17
DOI
https://doi.org/10.5281/zenodo.19076975
Primary Topic
Indoor and Outdoor Localization Technologies
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article
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article

UJALoc-BLE-NLOS: Real-World BLE Dataset for Indoor Localization under NLOS Conditions

José Luis López Ruiz, Macarena Espinilla, David Díaz Jiménez
Zenodo (CERN European Organization for Nuclear Research)
Indoor and Outdoor Localization Technologies
article

UJALoc-BLE-NLOS: Real-World BLE Dataset for Indoor Localization under NLOS Conditions

José Luis López Ruiz, Macarena Espinilla, David Díaz Jiménez
article en

Abstract

UJALoc-BLE-NLOS: Real-World BLE Dataset for Indoor Localization under NLOS Conditions Abstract This dataset contains Received Signal Strength Indicator (RSSI) measurements collected from 8 Bluetooth Low Energy (BLE) beacons distributed within a conventional multi-room dwelling. The data is designed to support research in indoor localization, fingerprinting techniques, and signal propagation modeling under real-world Non-Line-of-Sight (NLOS) conditions. It includes measurements from 28 distinct reference points, providing a comprehensive mapping of the radio frequency environment in a realistic residential scenario with obstacles, walls, and multipath effects. Dataset Structure Measurement files: p1.csv - p28.csv: Individual files corresponding to each measurement point (1 to 28). Each file contains raw RSSI captures from all detectable beacons at that specific location. plane.pdf: A detailed floor plan showing the physical coordinates/locations of the 8 beacons and the 28 measurement points. Each record in the CSV files follows this structure: mac: Physical MAC address of the detected BLE beacon. time: Unix timestamp (milliseconds) of the measurement. dato: Received Signal Strength Indicator (RSSI) value in dBm. Hardware and Configuration The setup consists of 8 BLE beacons with varying transmission power (TX Power) settings to provide diverse signal characteristics for modeling. The specific hardware devices and their configuration are described in detail in Díaz-Jiménez, D., López Ruiz, J. L., Cuevas-Martínez, J. C., Torres-Sospedra, J., Navarro, E. A., & Espinilla Estévez, M. (2025). BLE-Based Custom Devices for Indoor Positioning in Ambient Assisted Living Systems: Design and Prototyping. Sensors, 25(20), 6499. https://doi.org/10.3390/s25206499. MAC Address Beacon ID Power (dBm) Advertising Channel Samples F2:34:2D:BE:43:1E 1 -4 37 and 38 4,019 C6:8C:6E:50:1C:66 2 -4 37 and 38 2,896 CA:FA:83:43:90:6A 3 4 37 and 38 4,136 F2:7C:81:CB:BB:5B 4 8 37 and 38 4,267 C5:C1:22:55:5A:69 5 4 37 and 38 4,090 CB:F4:EA:1D:3F:31 6 4 37 and 38 4,177 DB:36:66:4B:BD:C4 7 4 37 and 38 4,176 EC:0F:79:C9:CB:8A 8 4 37 and 38 4,217 Total dataset volume: 31,978 samples. Data was collected by placing a receiving device at each of the 28 points marked on the map. At each point, the receiver captured advertising packets from all beacons for a fixed duration, capturing the temporal variance of the RSSI signal. License and Citation This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). If you use this dataset in your research, please cite it as: UJALoc-BLE-NLOS: Real-World BLE Dataset for Indoor Localization under NLOS Conditions Note: For further details on the spatial distribution, please refer to the included 'plane.pdf'. Acknowledgements This dataset has been partially supported by grant PDC2023-145863-I00 funded by MICIU/AEI/10.13039/501100011033, and by "European Union NextGenerationEU/PRTR".

Zenodo (CERN European Organization for Nuclear Research)
Universidad de Jaén (ES)
Sustainable cities and communities
Openalex Percentile: Top 18%
Indoor and Outdoor Localization Technologies
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