基于模糊逻辑和路由器辅助的MCC算法

针对端到端组播拥塞控制的局限性,提出一种基于模糊逻辑和路由器辅助的组播拥塞控制算法FLRA-MCC。在FLRA-MCC中,主动路由器实时监测网络状态,利用模糊逻辑计算缓冲区调节因子a,从而自动调节缓冲区大小以缓解拥塞,并且只在发生较重拥塞时,才向源端反馈拥塞信息以通知源端减小发送速率。仿真结果表明,该算法能够保证网络吞吐量的稳定性,较好地吸收突发流,同时以更小的丢包率传输数据。

Fuzzy Logic-based and Router-assisted Multicast Congestion Control Algorithm

Because of the limitation of end-to-end multicast congestion control, a Fuzzy Logic-based and Router-Assisted Multicast Congestion Control(FLRA-MCC) algorithm is proposed in this paper. In the algorithm, the network behavior is monitored by active routers to calculate the parameter of a buffer change, which can alleviate the congestion situation, so the congestion information can be delivered to the sender only when the congestion is relatively serious. Simulations results show that the FLRA-MCC algorithm can guarantee the stability of network throughput, absorb the burst flows preferably, and transmit data with smaller loss rate.