Toward an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
Abstract: 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.
- R. Hernangomez, A. Palaios, C. Watermann, D. Schäufele, P. Geuer, R. Ismayilov, M. Parvini, A. Krause, M. Kasparick, T. Neugebauer, O. D. Ramos-Cantor, H. Tchouankem, J. Leon Calvo, B. Chen, S. Stanczak, and G. Fettweis, “AI4Mobile Industrial Wireless Datasets: iV2V and iV2I+,” 2022, accessed on: 2023-02-21. [Online]. Available: https://dx.doi.org/10.21227/04ta-v128
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