Deterministic network time delay scheduling method and device based on TSN and storage medium

By performing graph theory analysis of the topology of TSN network and combining multi-level priority perception network and deep Q network dynamic optimization scheduling strategy, the problem that traditional TSN network delay scheduling methods are difficult to cope with dynamic changing network environments, and efficient network resource utilization and performance stability are achieved.

CN119652840AInactive Publication Date: 2025-03-18SHENZHEN SCODENO TECH CO LTD
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Patent Information

Application Number
CN202510166844.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-14
Publication Date
2025-03-18
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The delay scheduling method of traditional TSN networks is difficult to cope with dynamically changing network environments and diversified business needs. Especially in the hyper-intensive node deployment scenario, the network topology structure is complex and there are many types of data flows. Traditional scheduling algorithms are difficult to meet the delay requirements of service flows of different priority levels at the same time, which is easy to cause network congestion and performance degradation.

Method used

By performing graph theory analysis on the topology of TSN network, combining multi-level priority perception network and deep Q network, a state-action mapping relationship is established, scheduling strategies are dynamically optimized, bandwidth borrowing and time slice redistribution are adopted to improve network resource utilization efficiency.

Benefits of technology

It significantly improves network resource utilization efficiency, realizes accurate evaluation and dynamic adjustment of network performance, overcomes the limitations of traditional static scheduling methods, and maintains the stability of network performance.

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Abstract

The invention relates to the technical field of network time delay scheduling, and discloses a deterministic network time delay scheduling method and device based on a TSN and a storage medium. The method comprises the following steps: carrying out graph theory analysis on a TSN network topology structure to obtain a network node connection relationship and link bandwidth information; extracting time delay requirements and bandwidth requirement characteristics of the data streams, and generating a data stream priority queue and a resource requirement index matrix; inputting a deep Q network, establishing a state-action mapping relation including a network load state and a time slice distribution action, and generating an initial time delay scheduling strategy model; calculating queuing time delay, transmission time delay and processing time delay of each data stream, and generating a time slice resource redistribution scheme; generating a global resource allocation matrix based on the time slice resource reallocation scheme; and parameter feedback updating is carried out on the initial time delay scheduling strategy model to obtain a target time delay scheduling strategy model, and the utilization efficiency of network resources is remarkably improved through bandwidth borrowing and time slice reallocation.
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