scholarly journals Network congestion control algorithm based on Actor-Critic reinforcement learning model

2018 ◽  
Author(s):  
Tao Xu ◽  
Lina Gong ◽  
Wei Zhang ◽  
Xuhong Li ◽  
Xia Wang ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Congestion Control ◽  
Control Algorithm ◽  
Learning Model ◽  
Network Congestion ◽  
Congestion Control Algorithm ◽  
Network Congestion Control ◽  
Reinforcement Learning Model

Network Congestion Control Algorithm Simulation Research Based on NS2

2015 ◽  
Vol 713-715 ◽  
pp. 2455-2461
Author(s):  
Wen Zhi Han
Keyword(s):  
Congestion Control ◽  
Control Problem ◽  
Control Algorithm ◽  
Network Simulator ◽  
Network Congestion ◽  
Network Environment ◽  
Linear Network ◽  
Simulation Research ◽  
Congestion Control Algorithm ◽  
Network Congestion Control

Network congestion control problem is one of the most key problems in network study. This paper studies different versions of TCP source port algorithm such as Tahoe, Reno, NewReno, SACK and Vegas, and makes simulation research on linear network and dumbbell network environment algorithm by using NS2 network simulator, and finally it concludes that: when there is no competition in the network, it is better to choose Vegas algorithm; when there is competition, choose Reno, NewReno, or Sack algorithm is more advisable.

Sign in / Sign up

Export Citation Format

Share Document