基于Agent的主动网络拥塞控制模型研究

Study of active network congestion control model based on Agent

基于模糊神经网络与微粒群算法(PSO),运用主动网络系统的Agent,提出了基于Agent的主动网络拥塞控制模型,并将该机制应用于主动网络系统中,充分发挥Agent对环境感知的学习能力和彼此协调的合作能力,解决了主动网络系统可能发生的网络拥塞问题.

Based on fuzzy neural network （FNN）, particle swarm optimization algorithm （PSO） and the Agent system in the active network architecture, this paper discusses a new mechanism to solve the congestion control model in the active network , and applies the mechanism in active network . By taking advantage of the Agent abilities on perception to environment and cooperation with each other, the congestion problem of the active network can be controlled and prevented.