Fuzzy self-adaptive prediction method for data transmission congestion of multimedia network

Traffic congestion is easy to occur in multimedia networks, so fuzzy adaptive prediction of data transmission congestion is conducted to improve the stability of multimedia networks. A fuzzy adaptive prediction algorithm for data transmission congestion in multimedia networks is proposed. The data transmission structure model of multimedia networks is established, and the data transmission congestion status feature extraction and time series analysis are conducted. The self-coherent matched filter detection algorithm is adopted to analyze the congestion state of data transmission, and the high-order cumulant feature extraction and post-focus search are carried out on the output filtered data, and the accurate detection and extraction of abnormal features in traffic sequence is realized. It can be concluded that the fuzzy adaptive prediction of data transmission congestion in multimedia network is accurate and has strong resistance to interference. After 10 rounds of iteration, the detection probability always keeps at a high level and rises steadily, and the minimum detection probability is 78%, which ensures the stability and security of multimedia network.