Toward an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
This provides datasets for researchers and practitioners in industrial automation and wireless communication to develop AI solutions, but it is incremental as it focuses on data collection rather than new methods.
The paper presents two wireless measurement datasets (iV2V and iV2I+) from industrial testbeds, capturing communication and sensor data for Automated Guided Vehicles and an autonomous cleaning robot, which are publicly available and preprocessed for machine learning tasks like fingerprinting and link selection.
This paper presents two wireless measurement campaigns in industrial testbeds: industrial Vehicle-to-vehicle (iV2V) and industrial Vehicle-to-infrastructure plus Sensor (iV2I+), together with detailed information about the two captured datasets. iV2V covers sidelink communication scenarios between Automated Guided Vehicles (AGVs), while iV2I+ is conducted at an industrial setting where an autonomous cleaning robot is connected to a private cellular network. The combination of different communication technologies within a common measurement methodology provides insights that can be exploited by Machine Learning (ML) for tasks such as fingerprinting, line-of-sight detection, prediction of quality of service or link selection. Moreover, the datasets are publicly available, labelled and prefiltered for fast on-boarding and applicability.