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eTAS: enhanced Time-Aware Shaper for Supporting Non-Isochronous Emergency Traffic in Time-Sensitive Networks

Authors
Kim, M.Hyeon, D.Paek, Jeong Yeup
Issue Date
Jul-2022
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
IEEE 802.1; IEEE 802.1Qbv; Internet of Things; Internet of Things.; Logic gates; Real-time systems; Schedules; Standards; Switches; Time factors; Time-Aware Shaper (TAS); Time-Sensitive Network (TSN)
Citation
IEEE Internet of Things Journal, v.9, no.13, pp 10480 - 10491
Pages
12
Journal Title
IEEE Internet of Things Journal
Volume
9
Number
13
Start Page
10480
End Page
10491
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/51654
DOI
10.1109/JIOT.2021.3124508
ISSN
2327-4662
Abstract
To guarantee stringent real-time requirements of time-critical traffic in industrial systems, the IEEE time-sensitive networking (TSN) task group has standardized time-aware shaping (TAS) in IEEE 802.1Qbv, which schedules precise and periodic transmission times using pre-assigned traffic information. However, non-periodic/unexpected but time-critical traffic such as emergency events or alarms may occur in real industrial scenarios, and TAS does not provision for performance of traffic that are unknown a priori, nor the impact thereof on prescheduled traffic. Moreover, recalculating the schedule for every sporadic, non-isochronous event traffic is extremely difficult, complex, and costly. To address these challenges, we propose a novel enhancement to TAS, referred to as eTAS, which defines a new scheduling rule for immediate forwarding of emergency traffic to guarantee real-time performance, while dynamically extending the scheduled time windows to protect scheduled time-critical traffic from the interference of emergency traffic. We evaluate eTAS through extensive simulations on OMNeT++ under an advanced driver assistance system (ADAS) scenario for autonomous driving to show that eTAS effectively allows rapid transmission of event traffic with minimal impact on scheduled traffic, even for highly congested networks. IEEE
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Paek, Jeong Yeup
소프트웨어대학 (소프트웨어학부)
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