2021 IEEE International Conference on Communications Workshops (ICC Workshops) 2021
DOI: 10.1109/iccworkshops50388.2021.9473897
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Enabling QoS for Collaborative Robotics Applications with Wireless TSN

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Cited by 17 publications
(7 citation statements)
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“…Sudhakran et al build on top of this work and present a methodology to map application layer timing requirements in a collaborative robot application to the link layer, based on wireless TSN over WiFi [84]. Rather than going further into the TSN standards, they address how to classify traffic, extract time-critical flow parameters, and define an efficient schedule for the end-to-end QoS approach.…”
Section: Real-time Aware Wireless Technologiesmentioning
confidence: 99%
“…Sudhakran et al build on top of this work and present a methodology to map application layer timing requirements in a collaborative robot application to the link layer, based on wireless TSN over WiFi [84]. Rather than going further into the TSN standards, they address how to classify traffic, extract time-critical flow parameters, and define an efficient schedule for the end-to-end QoS approach.…”
Section: Real-time Aware Wireless Technologiesmentioning
confidence: 99%
“…Similarly to the previous reference TSN and DDS run in parallel, but independently. In [67], authors explore the capabilities in terms of QoS of wireless TSN networks when combined with DDS. In such work, the intersection between TSN and DDS is introduced by mapping DDS topics to TSN streams.…”
Section: Coexistence Of Dds With Tsn In Egwmentioning
confidence: 99%
“…Further exploration regarding this approach is detailed in Section II. [17] uses TM frames based 802.1AS for CS over Intel Wi-Fi 5 cards in Collaborative Robotics applications. Though this work focuses on combining robotic operating system with wireless TSN traffic flow to maintain optimal network jitter and latency, it never quantified CS performance directly, and neither exposed any information regarding how 802.1AS is realized over Wi-Fi TM.…”
Section: Introductionmentioning
confidence: 99%