Towards an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets

Hernangómez, Rodrigo, Palaios, Alexandros, Watermann, Cara, Schäufele, Daniel, Geuer, Philipp, Ismayilov, Rafail, Parvini, Mohammad, Krause, Anton, Kasparick, Martin, Neugebauer, Thomas, Ramos-Cantor, Oscar D., Tchouankem, Hugues, Calvo, Jose Leon, Chen, Bo, Fettweis, Gerhard, Stańczak, Sławomir

arXiv.org Artificial Intelligence 

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.

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