Towards an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
| Autor: | 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 |
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| Rok vydání: | 2023 |
| Předmět: | |
| DOI: | 10.48550/arxiv.2301.03364 |
| Popis: | This paper presents two wireless measurement campaigns in industrial testbeds: industrial Vehicle-to-vehicle (iV2V) and industrial Vehicle-to-infrastructure plus Sensor (iV2I+). Detailed information about the two captured datasets is provided as well. 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, together with 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 labelled and pre-filtered for fast on-boarding and applicability. The corresponding testbeds and measurements are also presented in detail for both datasets. Comment: 7 pages, 3 figures. Submitted to a special issue magazine. Datasets available at https://ieee-dataport.org/open-access/ai4mobile-industrial-wireless-datasets-iv2v-and-iv2i |
| Databáze: | OpenAIRE |
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