Abstract | ||
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Wireless technology is envisioned to be a major enabler of flexible industrial deployments, allowing agile installations and mobility of production elements. However, for industrial IoT (IIoT) use-cases, reliability and service availability remain as key concerns for wide adoption. To enhance wireless link reliability, we propose in this paper a Selective Duplication with QoS (SDQoS) technique, a cross-layer scheduling solution which leverages radio access technology metrics and transport layer metrics to schedule data transmission across one or more links. The framework is implemented as part of a multi-access gateway solution and its capability is demonstrated in a realistic two-hall industrial production environment for a multi-data flow autonomous mobile robot use-case, using Wi-Fi. The proposed QoS-aware solution shows a major improvement in preserving low latency and reliability for critical control data in the presence of large background traffic as compared to state-of-the-art solutions. |
Year | DOI | Venue |
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2022 | 10.1109/ACCESS.2022.3210340 | IEEE ACCESS |
Keywords | DocType | Volume |
Quality of service, Reliability, Industrial Internet of Things, Wireless fidelity, Wireless communication, Measurement, 5G mobile communication, Industrial IoT, multi-connectivity, reliability, QoS, Wi-Fi | Journal | 10 |
ISSN | Citations | PageRank |
2169-3536 | 0 | 0.34 |
References | Authors | |
0 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rasmus S. Mogensen | 1 | 0 | 0.34 |
Sebastian B. Damsgaard | 2 | 0 | 0.34 |
Ignacio Rodriguez | 3 | 0 | 0.68 |
Gilberto Berardinelli | 4 | 0 | 0.34 |
Andreas E. Fink | 5 | 0 | 0.34 |
Troels E. Kolding | 6 | 0 | 0.34 |
Guillermo Pocovi | 7 | 0 | 0.34 |