A Genetic Based Fuzzy Q-Learning Flow Controller for High-Speed Networks

• 作者: Nan JIANG Siying ZHANG Xin LI Yuanwei JING
• 来源期刊: 通讯、网络与系统学国际期刊(英文)
• 学科: 医学
• 关键词: HIGH-SPEED Network Flow Control FUZZY Q-LEARNING GENETIC OPERATOR
• 年，卷（期）: 2009,（1）
• 页码范围: 84-89
• 页数: 6页
• 分类号: R73

摘要

For the congestion problems in high-speed networks, a genetic based fuzzy Q-learning flow controller is proposed. Because of the uncertainties and highly time-varying, it is not easy to accurately obtain the complete information for high-speed networks. In this case, the Q-learning, which is independent of mathematic model, and prior-knowledge, has good performance. The fuzzy inference is introduced in order to facilitate generalization in large state space, and the genetic operators are used to obtain the consequent parts of fuzzy rules. Simulation results show that the proposed controller can learn to take the best action to regulate source flow with the features of high throughput and low packet loss ratio, and can avoid the occurrence of congestion effectively.