Abstract
OPC UA PubSub Over TSN is the core of the Industrial Internet and guarantees flexible interaction features for multiple parties in real-time for industrial communication. To achieve the transmission of time-triggered traffic in PubSub NetworkMessage, routing and scheduling data need to be analyzed. Traditional routing and scheduling methods have disadvantages such as low calculation efficiency, slow convergence speed, and poor reliability. Therefore, a routing and scheduling method for OPC UA PubSub NetworkMessage time-triggered traffic based on an improved ant colony algorithm is proposed. First, we analyze the network topology model, traffic model, and traffic transmission constraints of TSN; then, we apply the K-means clustering algorithm, the KSP algorithm based on the shortest path idea, and an improved ant colony algorithm for traffic classification, routing, and scheduling calculation. Experimental results show that this method can effectively reduce the delay increase caused by link congestion, improve the ability to schedule time-triggered traffic, and accelerate the convergence rate of iteration.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
