Abstract
To study the congestion control of intermediate nodes in the changing network, PID type neural network control scheme for AQM (active queue management) is proposed. Back-propagation algorithm is used to adjust the weights of neural networks and stability of closed-loop system is proved according to the Lyapunov theory. Based on NS-2 simulation platform, the result showed that the proposed control scheme can adapt to the changing network situation, the system steady-state error and transient performance of the proposed scheme is superior to those of PID.
Original language | English |
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Pages (from-to) | 892-896 |
Number of pages | 5 |
Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
Volume | 26 |
Issue number | 10 |
Publication status | Published - Oct 2006 |
Keywords
- Active queue management
- Back-propagation algorithm
- Congestion control
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Ren, X. M., Huang, H., Ai, L., & Na, J. (2006). PID type neural network control for active queue management. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 26(10), 892-896.