Fair and efficient network congestion control algorithm based on minority game with local information

Low link utility, RTT unfairness and unfairness of Multi-Bottleneck network are the existing problems in the present network congestion control algorithms at large. Considering the local information of network, a congestion con-trol model based on minority game (MG) with local information was proposed to solve these problems. Based on the model, a congestion control algorithm was designed. The result of simulation indicates that the proposed algorithm has good performance on link utilization and fairness of RTT flow in multi-bottleneck network.