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Machine-Learning Based Packet Switching Method for Providing Stable High-Quality Video Streaming in Multi-Stream Transmission

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Computers, Materials & Continua 2024年第3期78卷 4153-4176页

作者： yumin jo jongho Paik Major in Software Fusion Department of ComputerSeoulWomen’s UniversitySeoul01797South Korea Department of Software Convergence Seoul Women’s UniversitySeoul01797South Korea

Broadcasting gateway equipment generally uses a method of simply switching to a spare input stream when a failure occurs in a main input ***,when the transmission environment is unstable,problems such as reduction in the lifespan of equipment due to frequent switching and interruption,delay,and stoppage of services may ***,applying a machine learning(ML)method,which is possible to automatically judge and classify network-related service anomaly,and switch multi-input signals without dropping or changing signals by predicting or quickly determining the time of error occurrence for smooth stream switching when there are problems such as transmission errors,is *** this paper,we propose an intelligent packet switching method based on the ML method of classification,which is one of the supervised learning methods,that presents the risk level of abnormal multi-stream occurring in broadcasting gateway equipment based on ***,we subdivide the risk levels obtained from classification techniques into probabilities and then derive vectorized representative values for each attribute value of the collected input data and continuously update *** obtained reference vector value is used for switching judgment through the cosine similarity value between input data obtained when a dangerous situation *** the broadcasting gateway equipment to which the proposed method is applied,it is possible to perform more stable and smarter switching than before by solving problems of reliability and broadcasting accidents of the equipment and can maintain stable video streaming as well.

关键词： Broadcasting and communication convergence multi-stream packet switching advanced television systems committee standard 3.0(ATSC 3.0) data pre-processing machine learning cosine similarity

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