Abstract

The advent of Industry 4.0 along with the subsequent Industrial Internet of Things (IIoT) paradigm have exponentially increased the need for sensing and data gathering from industrial processes using diverse technologies. Although these heterogeneous technologies enable data collection from different sources, presenting multiple formats and diverse connectivity conditions, they also generate a complex environment due to the proliferation of devices with variated processing capacities, operating systems and communication protocols. This scenario can potentially create a management challenge that could evolve into utter chaos if not properly addressed. This Study aims to delineate the fundamental requirements for device management in industrial scenarios and propose an agnostic, federated management architecture that targets any IIoT devices, independent of technology specificities or communication mechanisms.

Keywords:
Industrial Internet Computer science Architecture The Internet Internet of Things Data management Data science Distributed computing Systems engineering World Wide Web Engineering Database

Metrics

5
Cited By
0.39
FWCI (Field Weighted Citation Impact)
17
Refs
0.66
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Digital Transformation in Industry
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems

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