Abstract
Time-Sensitive Networking (TSN) provides end-to-end data transmission with extremely low delay and high reliability on the basis of Ethernet. It is suitable for time-sensitive applications and will be widely used in scenarios such as autonomous driving and industrial Internet. IEEE 802.1Qbv proposes a time-aware shaper mechanism, which enables switches to control the forwarding of traffic in port queues according to pre-defined Gate Control List (GCL). The length of the GCL is limited, and the previous method of scheduling cycle with a hyper period may result in a larger GCL. Based on Satisfiability Modulo Theories (SMT), we propose a TSN scheduling method for industrial scenarios and develops a series of scheduling constraints. Different from the previous scheduling methods, the method proposed in this paper adopts the base period cycle to update GCL regularly, which can effectively reduce the number of time slots in GCL and make the configuration of GCL simpler and more efficient. In addition, compared with the traditional hyper period method, the method proposed in this paper can calculate the scheduling results faster while ensuring low latency and reducing the runtime effectively.
Highlights
With the continuous popularization of the Industrial Internet of Things, increasingly intelligent terminal equipment and infrastructure have formed a super-intelligent system group, and the time-sensitive data generated by these systems must be transmitted within strict time and reliable regulations [1]
The solution process of this paper based on the Satisfiability Modulo Theories (SMT) scheduling algorithm is as follows: (1) Use the SMT method to construct Time-Sensitive Networking (TSN) traffic scheduling problem constraints
It can be seen that the base period cycle (BPC) method we proposed can significantly reduce the number of time slot entries in Gate Control List (GCL)
Summary
With the continuous popularization of the Industrial Internet of Things, increasingly intelligent terminal equipment and infrastructure have formed a super-intelligent system group, and the time-sensitive data (such as control data, fault monitoring data, etc.) generated by these systems must be transmitted within strict time and reliable regulations [1]. The original standard Ethernet IEEE802.3 [2]. A variety of industrial Ethernet standards coexist on the market today, and the industrial Ethernet protocols used in different industrial equipment vary from equipment supplier, so the compatibility between various field bus is another big problem. TSN has the following key characteristics: it provides microsecond-level precise clock synchronization, such as 802.1AS [3], and provides multiple delay control mechanisms for time-sensitive traffic, such as 802.1Qbv [4]. With these features, TSN can provide QoS guarantees for the traffic it carries, and ensure real-time and deterministic data transmission. Researching and improving the performance of TSN is of great significance to the future
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