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Author:

Han, Bing (Han, Bing.) | Wang, Li-Jun (Wang, Li-Jun.) | Li, Zhen-Liang (Li, Zhen-Liang.)

Indexed by:

EI

Abstract:

In view of the current TCP congestion control slow-start algorithm and its waste of bandwidth due to short connections, network congestion and packet loss caused by the rapid growth of the congestion window in the later period, this paper studies the slow-start algorithm part of the TCP transmission protocol. Considering the characteristics of the current relatively high speed network, this paper proposes an improved slow start algorithm with traffic awareness. By statistical analysis of data transmission in the network, the algorithm dynamically determines the initial congestion window size of slow start, and dynamically adjusts the congestion window by tracking the changes of real-time network traffic. In the slow start stage, the smoothness of the congestion window is further analyzed and the smoothness of the window growth is corrected in real time, so that the congestion window does not increase exponentially, but increases by a more efficient power function. The results of this experiment show that the improved algorithm slows down the growth rate of the congestion window and improves the smoothness of the window growth. It also significantly improved the data transmission rate and throughput. © 2023 SPIE.

Keyword:

HIgh speed networks Traffic congestion Data transfer Transmission control protocol High speed cameras

Author Community:

  • [ 1 ] [Han, Bing]CNONIX National Standard Application and Promotion Laboratory, North China University of Technology, Beijing; 100144, China
  • [ 2 ] [Wang, Li-Jun]College of Information, North China University of Technology, Beijing; 100144, China
  • [ 3 ] [Li, Zhen-Liang]Beijing City University, Beijing 3D Printing Research Institute, Beijing; 100191, China

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Source :

ISSN: 0277-786X

Year: 2023

Volume: 12593

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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