Intelligent multicast congestion control based on expert-control for wireless networks

Abstract

In order to improve the performance of existing multicast congestion control mechanisms applied to wireless networks, in this paper, we propose an expert-control-based intelligent multicast congestion control mechanism for wireless networks, termed ECMCC. ECMCC detects the network congestion state according to network relative queuing delay and packet loss, feedbacks information to multicast source based on representatives set mechanism, distinguishes between wireless link errors and network congestion, and judges the current network state, then takes different control strategies to adjust the sending rate of multicast source. The simulation results show that, ECMCC mechanism has good convergence and sensitivity, smooth sending rate, and good TCP-friendliness in wired network. And ECMCC enhances the capability to distinguish between network congestion and random error, and improves the network throughput. ECMCC can adapt itself to wireless network environment well, achieve some extent on TCP-friendliness over low bit error rate wireless link and keep stable receiving rate over high bit error wireless link.