无线网络中模糊自适应显式窗口流量控制

将显式窗口自适应技术应用于无线网络中，设计出一种基于模糊逻辑的显式窗口自适应流量控制算法．该算法依据基站缓存的变化量，通过模糊推理和判断，自适应地调整通知窗口，并将结果以显式的方式反馈给发送端，使发送端的发送窗口能够快速响应网络负荷状况，从而避免了发生网络拥塞和丢失数据分组．仿真结果显示，采用所提算法可以提高网络吞吐量，降低缓存用量，特别是当无线链路误码率较高时，其网络吞吐量比Snoop算法可提高2．3倍，而缓存用量只有Snoop算法的40%.

Flow Control Based on Fuzzy Adaptive Explicit Window in Wireless Networks

An effective flow control algorithm based on fuzzy logic explicit window adaptation is presented for wireless networks,in which the advertised receiver window is regulated adaptively according to base station buffer changing and through fuzzy reasoning and inferring,and the result is fed back to senders in a explicit way.As a result,the transfer control protocol(TCP) sending window can respond to the network's load changing rapidly,so as to avoid the loss of packets and network congestion,and the TCP flow becomes smoother.The simulation results show that the proposed algorithm can increase throughput and decrease the cost of cache,especially,the network throughput enhances 2.3 times and the cost of cache reduces by 60% compared with Snoop when the link error rate is high.