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

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成果类型:
期刊论文
作者:
Liu, Hean;Ko, Young Chun
通讯作者:
Young Chun Ko
作者机构:
[Liu, Hean] Sehan Univ, Grad Sch, Dept Educ, Chungnam 58447, South Korea.
[Liu, Hean] Hunan City Univ, Coll Sci, Yiyang 413000, Peoples R China.
[Ko, Young Chun] Sehan Univ, Dept Teaching Profess, Chungnam 58447, South Korea.
通讯机构:
[Young Chun Ko] D
Department of Teaching Profession, Sehan University, Chonnam, South Korea
语种:
英文
关键词:
Multimedia network;Data;Transmission;Congestion;Fuzzy adaptation;Prediction
期刊:
Wireless Networks
ISSN:
1022-0038
年:
2022
卷:
28
期:
6
页码:
2775-2784
基金类别:
The study is supported in part by research funds from Sehan University in Korea, 2021. This research was funded by the 2021 Provincial and Municipal Joint Fund Project of the Natural Science Foundation of Hunan Province (No. 2021JJ50149).
机构署名:
本校为其他机构
院系归属:
理学院
摘要:
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...

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