Optimal Fitting Method of Nonlinear Simultaneous Equations Considering Structural Tensor Image Modeling
Author(s) -
Zhu Shi-ping
Publication year - 2021
Publication title -
advances in multimedia
Language(s) - English
Resource type - Journals
eISSN - 1687-5699
pISSN - 1687-5680
DOI - 10.1155/2021/6356899
Subject(s) - header , computer science , network congestion , nonlinear system , cluster analysis , network packet , scheduling (production processes) , transmission (telecommunications) , cache , data transmission , computer network , mathematical optimization , real time computing , artificial intelligence , mathematics , telecommunications , physics , quantum mechanics
For the purpose of resolving the phenomenon of network congestion in the process of many-to-one communication in multimedia networks at present, the optimal fitting method of nonlinear simultaneous equations (OFMNSEs) is applied to the multimedia transmission congestion control system in this paper. The rate control and resource scheduling are effectively combined, and a clustering network structure is used to activate the congestion control method in turn based on the cluster header and intracluster-related indexes. Finally, it can be known through the analysis of the simulation results that the OFMNSE algorithm put forward in this paper can improve the congestion issue of the multimedia network transmission process and reduce the packet loss rate of data during the transmission effectively under the condition of different relative cache sizes compared with the conventional algorithm.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom