In the context of Industry 4.0, industrial production equipment needs to communicate through the industrial internet to improve the intelligence of industrial production. This requires the current communication network to have the ability of large-scale equipment access, multiple communication protocols/heterogeneous systems interoperability, and end-to-end deterministic low-latency transmission. Time-sensitive network (TSN), as a new generation of deterministic Ethernet communication technology, is the main development direction of time-critical communication technology applied in industrial environments, and Wi-Fi technology has become the main way of wireless access for users due to its advantages of high portability and mobility. Therefore, accessing WiFi in the TSN is a major development direction of the current industrial internet. In this paper, we model the scheduling problem of TSN and WiFi converged networks and propose a scheme based on a greedy strategy distributed estimation algorithm (GE) to solve the scheduling problem. Compared with the integer linear programming (ILP) algorithm and the Tabu algorithm, the algorithm implemented in this paper outperforms the other algorithms in being able to adapt to a variety of different scenarios and in scheduling optimization efficiency, especially when the amount of traffic to be deployed is large.

中文翻译：

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一种WiFi接入TSN联合调度方案

在工业4.0背景下，工业生产设备需要通过工业互联网进行通信，提高工业生产的智能化。这就要求当前的通信网络具备大规模设备接入、多种通信协议/异构系统互操作、端到端确定性低时延传输的能力。时间敏感网络（TSN）作为新一代确定性以太网通信技术，是工业环境应用的时间关键通信技术的主要发展方向，而Wi-Fi技术由于其原因已成为用户无线接入的主要方式。以其高便携性和移动性的优势。因此，在TSN中接入WiFi是当前工业互联网的一个主要发展方向。在本文中，我们对 TSN 和 WiFi 融合网络的调度问题进行建模，并提出一种基于贪婪策略分布式估计算法（GE）的方案来解决调度问题。与整数线性规划（ILP）算法和 Tabu 算法相比，本文实现的算法在能够适应多种不同场景和调度优化效率方面优于其他算法，特别是当流量量很大时。部署规模较大。