Large-scale Deterministic Transmission among IEEE 802.1Qbv Time-Sensitive Networks
Weiqian Tan, Binwei Wu, Shuo Wang, Tao Huang

TL;DR
This paper presents a hierarchical network architecture combining TAS and DIP to enable large-scale deterministic transmission across local and backbone networks, addressing limitations of TAS alone.
Contribution
It introduces a cross-domain transmission mechanism and end-to-end scheduling to extend deterministic networking from local to large-scale networks.
Findings
Achieves end-to-end deterministic transmission in high-loaded scenarios
Effectively integrates TAS and DIP for large-scale networks
Improves acceptance of time-sensitive traffic
Abstract
IEEE 802.1Qbv (TAS) is the most widely used technique in Time-Sensitive Networking (TSN) which aims to provide bounded transmission delays and ultra-low jitters in industrial local area networks. With the development of emerging technologies (e.g., cloud computing), many wide-range time-sensitive network services emerge, such as factory automation, connected vehicles, and smart grids. Nevertheless, TAS is a Layer 2 technique for local networks, and cannot provide large-scale deterministic transmission. To tackle this problem, this paper proposes a hierarchical network containing access networks and a core network. Access networks perform TAS to aggregate time-sensitive traffic. In the core network, we exploit DIP (a well-known deterministic networking mechanism for backbone networks) to achieve long-distance deterministic transmission. Due to the differences between TAS and DIP, we…
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Taxonomy
TopicsNetwork Time Synchronization Technologies · Energy Efficient Wireless Sensor Networks · Wireless Body Area Networks
