대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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- Pages.325-327
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- 2005
자기회귀 웨이블릿 신경 회로망을 이용한 TCP 네트워크 혼잡제어
Congestion Control of TCP Network Using a Self-Recurrent Wavelet Neural Network
- 발행 : 2005.10.28
초록
In this paper, we propose the design of active queue management (AQM) control system using the self-recurrent wavelet neural network (SRWNN). By regulating the queue length close to reference value, AQM can control the congestions in TCP network. The SRWNN is designed to perform as a feedback controller for TCP dynamics. The parameters of network are tunes to minimize the difference between the queue length of TCP dynamic model and the output of SRWNN using gradient-descent method. We evaluate the performances of the proposed AQM approach through computer simulations.