Serial Number: 75
Year: 2020
Kind of Traffic: Real
Publicly Available: Yes
Count of Records: 1TB
Features Count:
No. of citations: 81
Attack Type: N/A
Download Links: https://www.interdigital.com/data_sets/lora-radio-data
Abstract: To distinguish seemingly identical LoRa devices, particularly those of the same model, Al-Shawabka and collaborators compiled a dataset that includes a significant items of LoRa devices radio data. This data was collected over multiple days in two different environments, and interested parties can request access to the dataset. The setup included 100 sensor devices, each composed of a Pysense sensor which is connected to a FiPy radio board. To collect data, every device was configured to send ten consecutive bursts. Each burst include 100 successive measurements of device voltage, temperature, and humidity, and gap between measurements is 10ms . A one-second interval separated each burst from the previous one. Data collection occurred in both indoor and outdoor testbed environments on two occasions. As a result, collected packets per device were 2000, totaling 200,000 packets. To Label the datasets, a file format using JSON to describe radio data, known as an additional SigMF metafile, was employed and expanded to encompass LoRa-specific characteristics. Elmaghbub and Hamdaoui undertook a comparable investigation, Twentyfive identical LoRa Pycom devices were employed by testbed for radio fingerprinting. Their dataset was recorded in various experimental scenarios, introducing variations in sender-receiver location, recording times and distance. The dataset encompasses radio information presented in SigMF files, accompanied by descriptive metadata.