Title: Research on adaptive prediction of multimedia data transmission path based on machine learning

Authors: Pingping Xiao; Xiaoguang Li; Juan Zhu

Addresses: School of Electrical Information, Changchun Guanghua University, Jilin, 130000, China ' School of Electrical Information, Changchun Guanghua University, Jilin, 130000, China ' School of Electrical Information, Changchun Guanghua University, Jilin, 130000, China

Abstract: Aiming at the problems of high probability of data packet loss and long data receiving delay in current methods, an adaptive prediction method of multimedia data transmission path based on machine learning is proposed. This paper analyses the path length of multimedia data transmission, data integrity, energy consumption in the process of data transmission and reception delay, and ranks the advantages and disadvantages of data transmission paths, and finally realises the adaptive prediction of multimedia data transmission paths. The experimental results show that the proposed method is less likely to lose data packets and reduce the data receiving delay when predicting the path of multimedia data transmission. The experimental results verify the effectiveness of the proposed method. At the same time, the accuracy of adaptive prediction of data transmission path is discussed, and the discussion results of high accuracy of path prediction are obtained.

Keywords: machine learning; multimedia; data transmission; path; adaptive prediction.

DOI: 10.1504/IJICT.2021.117534

International Journal of Information and Communication Technology, 2021 Vol.19 No.3, pp.310 - 325

Received: 23 Mar 2020
Accepted: 13 Apr 2020
Published online: 13 Sep 2021 *

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