Toward an AI-Enabled Connected Industry: AGV Communication and Sensor Measurement Datasets

This article presents two wireless measurement campaigns in industrial testbeds: industrial vehicle-to-vehicle (iV2V) and industrial vehicle-to-in-frastructure plus sensor (iV21+), with detailed information about the two captured datasets. iV2V covers sidelink communication scenarios between moving...

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Veröffentlicht in:IEEE communications magazine 2024-04, Vol.62 (4), p.90-95
Hauptverfasser: Hernangomez, Rodrigo, Palaios, Alexandros, Watermann, Cara, Schaufele, 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, Stanczak, Slawomir
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Sprache:eng
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Zusammenfassung:This article presents two wireless measurement campaigns in industrial testbeds: industrial vehicle-to-vehicle (iV2V) and industrial vehicle-to-in-frastructure plus sensor (iV21+), with detailed information about the two captured datasets. iV2V covers sidelink communication scenarios between moving and stationary robots, while iV21+ 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 ML for tasks, such as fingerprinting, line-of-sight detection, prediction of quality of service, or link selection. Moreover, the datasets are publicly available, labeled, and pre-filtered for fast on-boarding and applicability.
ISSN:0163-6804
1558-1896
DOI:10.1109/MCOM.001.2300494