【摘要】 在高速移动环境下,由于较少考虑单路由器与相邻路由器的连接速率,容易导致拥塞检测准确性差以及数据流整体传输误差率较高的问题。为解决多节点网络拥塞问题,结合网络大数据动态性、快速性和时效性强的特性,提出一种基于路由器群的感知网络控制算法。通过采集参数和数据感知获得更为精准的信息作为判断拥塞情况的依据,并将相互连接的多路由器分层划分,邻近两层的路由器设置成一个虚拟节点。针对虚拟节点内部拥塞发生的3种拥塞情况,由控制器对虚拟节点中的边缘路由器参数进行控制和调整。实验仿真结果验证了该算法的可靠性及其稳定性。更多还原

【Abstract】 In the high speed mobile environment,due to less consideration of single router and adjacent router connection rate,it is easy to lead to poor accuracy of congestion detection and the high error rate of data flow transmission. In order to solve the problem of multi-node network congestion,a kind of sensing network control algorithm based on router group is proposed in combination with the characteristics of dynamic,fast and timeliness of large network data. Through the acquisition of parameters and data-aware to obtain more accurate information as a basis for congestion judgment, and divided the connected routers into the hierarchical routers group, and adjacent two layers of the router was set up as a virtual node. By analyzing the three different congestion cases in the virtual node,the controller will be control and adjust the parameters of the edge router in the virtual node. Experimental simulation results verified the reliability and stability of the algorithm.更多还原