基于历史相遇概率的容迟容断网络主动拥塞控制算法

为了解决容迟容断网络(DTN)由于节点拥塞造成网络阻塞的问题，提出了一种基于历史相遇概率的主动拥塞控制算法。该算法提出了参考概率这一概念，可以通过节点的拥塞程度动态调整参考概率的大小，进而控制消息的转发条件，以达到对节点拥塞的避免与控制作用，并且在网络资源出现空闲时，可以提升空闲资源的利用率，提高整个网络的传输效率。仿真结果表明，该算法提高了整个网络的递交率，降低了负载比率及消息丢失率，在实现主动拥塞控制的同时也提升了网络的传输性能。

Active congestion control strategy based on historical probability in delay tolerant networks

To solve the congestion problem at node in delay tolerant networks, an active congestion control strategy based on historical probability was proposed. The strategy put forward the concept of referenced probability that could be adjusted dynamically by the degree of congestion. Referenced probability would control the forwarding conditions to avoid and control the congestion at node. At the same time the utilization of idle resources and the transmission efficiency of the network would be promoted. The simulation results show that the strategy upgrades delivery ratio of the entire network and reduces the load ratio and message loss rate. As a result, the active congestion control is realized and the transmission performance of the network is enhanced.