Research on congestion control mechanism of multi-attributedecision making in deep-space DTN
深空DTN多属性决策拥塞控制的研究

For congestion in deep-space DTN was mainly caused by the limited node memory space, this paper proposed an improved strategy for multi-attribute decision making to select the next hop node. The basic idea of the improved strategy was to divide the node status into normal, semi-congestion and congestion states according to the node storage occupancy, combined with the packet received history and then used multi-attribute decision theory to select the best next hop node, so as to achieve the purpose of prevention of congestion. Simulation results show that the improved strategy is more effective than the original one in the single node's queue length, average queue length, packet acceptance rate and the average packet distributed time. It alleviates the congestion effectively.