Replication Data for: Robust RFID identification in conveyor belt systems

DOI

This dataset comprises samples collected from an RFID reader under two experimental conditions: (1) the RFID tag remains static, and (2) the tag is moved across the antenna at a fixed distance. The purpose of the dataset is to provide signal measurements for analyzing the influence of movement and distance on RFID communication characteristics. The data is stored in CSV format. It is intended for research on RFID signal behavior under varying movement conditions and can be used for tasks such as classification, segmentation, and signal analysis.

The dataset consists of samples collected from an RFID reader during two conditions: (1) the tag remains static, and (2) the tag is moved across the antenna at a fixed distance. Each record includes the following attributes:

peakRssi (dBm): Peak received signal strength. phase (degrees): Signal phase. channel (Hz): Communication channel index. idHex: Tag identifier in hexadecimal format. time_reader (ms): Timestamp from the reader. power (dBm): Transmission power level. offsetDirection: Direction of movement offset. offset: Numeric offset value. moveType: Movement type (static or dynamic).

The data is stored in CSV format. It was collected to analyze the effect of movement and distance on RFID signal characteristics.

METHODOLOGICAL INFORMATION

  1. Description of methods used for collection-generation of data: The data was collected from an RFID reader model FX7500 manufactured by Zebra, using an Electromagnetic Coupling Device (ECD) designed and built at the UAB, based on the work of A.-P. J. Jiménez [1]. Standard SMA coaxial cables with $50$ ohm impedance were used. The data acquisition process was managed through the software tool developed by E. D. Machado and N. M. Benelmekki [2]. The measurements were taken under two main conditions: static and dynamic tag movement relative to the antenna, with varied offset distances.

  2. Methods for processing the data: The raw data, outputted from the RFID reader (FX7500) in JSON format via the MQTT protocol, was immediately formatted and saved to a CSV file using the tool [2]. After collection, fields deemed redundant or non-essential were removed. The readings from the same day were consolidated into a single file for organization. The time of reading is preserved in the timestamp column.

  3. Instrument- or software- specific information needed to interpret the data: The dataset is in CSV format (UTF-8 encoding), which can be read by any standard text editor or spreadsheet software. For programmatic use, most programming languages offer libraries or modules capable of reading and interpreting CSV files. In this case, python was the preferred coding language an it includes a CSV module to load the data.

  4. Instruments, calibration and standards information: RFID Reader: Zebra FX7500.Antenna System: Electromagnetic Coupling Device (ECD), designed and manufactured at UAB following [1].Cables: Standard SMA coaxial cable, $50$ ohm impedance. Test measurements were used to ensure the correct

  5. Environmental or experimental conditions: The experiments were conducted in a closed room with an ambient temperature close to 25ºC. No wind and no electromagnetic shielding were present.

  6. Quality-assurance procedures performed on the data: The data capturing program developed by E. D. Machado [2] enforced the correct format during the collection process.

Identifier
DOI https://doi.org/10.34810/data2768
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data2768
Provenance
Creator del Río Toledano, Javier ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Del Rio Toledano, Javier; Universitat Autònoma Barcelona
Publication Year 2025
Funding Reference Agencia Estatal de Investigación PID2022-139929NB-I00 ; https://ror.org/01bg62x04 2021/SGR-00197
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Del Rio Toledano, Javier (Universitat Autònoma de Barcelona)
Representation
Resource Type Experimental data; Dataset
Format text/tab-separated-values; text/plain
Size 330529; 1192726; 7886706; 3671943; 278364908; 10058
Version 1.0
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences
Spatial Coverage Cerdanyola del Valles, Barcelona, Catalunya, Espanya