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 |
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Hauptverfasser: | , , , , , , , , , , , , , , , |
Format: | Magazinearticle |
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. |
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ISSN: | 0163-6804 1558-1896 |
DOI: | 10.1109/MCOM.001.2300494 |