多路并行传输中数据调度算法的优化

针对异构无线网络环境中，基于流控制传输协议（SCTP）的多路并行传输协议（CMT-SCTP）存在接收缓存阻塞和路径负载失衡等问题，提出一种改进的轮询数据调度算法。该算法根据每条路径上的发送队列信息和拥塞状况对网络状况进行估计，并按照各路径上的网络状况分配相应的传输任务量，缩短数据包在接收端缓冲区的平均排队时延，减少接收端乱序数据包的数量。仿真结果表明，改进的轮询数据调度算法能有效提升CMT-SCTP在异构无线网络环境中的传输效率，有效缓解接收缓存的阻塞,且对不同的网络场景具有很好的适应性。

Optimization of data scheduling algorithm in concurrent multipath data transfer

To solve the problem of receiver buffer blocking and load unbalance of Concurrent Multipath data Transfer using Stream Control Transmission Protocol (CMT-SCTP) in heterogeneous network environments, an improved round-robin data scheduling algorithm was proposed. The network condition of each path was estimated by the proposed algorithm according to the sender queue information and the congestion status of links. Then the proposed data scheduling algorithm distributed the transmission task to each path based on its network condition, curtailed the queuing time of data chunks in sender buffer and reduced the number of out-of-order data chunks in receiver buffer. Simulation results show that the improved round-robin data scheduling algorithm can effectively enhance the transmission efficiency of CMT-SCTP in a heterogeneous wireless network environment and mitigate the receiver buffer blocking problem. It can also adapt to different network conditions.