arXiv Open Access 2022

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

Rodrigo Hernangómez Alexandros Palaios Cara Watermann Daniel Schäufele Philipp Geuer +11 lainnya

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Abstrak

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.

Topik & Kata Kunci

cs.NI cs.AI cs.LG

Penulis (16)

Rodrigo Hernangómez

Alexandros Palaios

Cara Watermann

Daniel Schäufele

Philipp Geuer

Rafail Ismayilov

Mohammad Parvini

Anton Krause

Martin Kasparick

Thomas Neugebauer

Oscar D. Ramos-Cantor

Hugues Tchouankem

Jose Leon Calvo

Bo Chen

Gerhard Fettweis

Sławomir Stańczak

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APA MLA BibTeX

Hernangómez, R., Palaios, A., Watermann, C., Schäufele, D., Geuer, P., Ismayilov, R. et al. (2022). Toward an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets. https://arxiv.org/abs/2301.03364

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓