作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2017, Vol. 43 ›› Issue (12): 136-140,154. doi: 10.3969/j.issn.1000-3428.2017.12.026

• 移动互联与通信技术 • 上一篇    下一篇

高速铁路下感知路由器群的协同拥塞控制

鲁凌云,陈娅婷,李婷婷   

  1. (北京交通大学 计算机与信息技术学院,北京 100044)
  • 收稿日期:2016-10-06 出版日期:2017-12-15 发布日期:2017-12-15
  • 作者简介:鲁凌云(1977—),女,副教授、博士,主研方向为数据通信;陈娅婷、李婷婷,硕士研究生。
  • 基金资助:
    国家自然科学基金(61201200)。

Collaborative Congestion Control of Sensing Router Group in High Speed Railway

LU Lingyun,CHEN Yating,LI Tingting   

  1. (School of Computer and Information Technology,Beijing Jiaotong University,Beijing 100044,China)
  • Received:2016-10-06 Online:2017-12-15 Published:2017-12-15

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。

关键词: 高速移动, 数据感知, 主动队列管理, 随机早期发现, 协同拥塞控制

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.

Key words: high speed movement, data sensing, Active Queue Management(AQM), Random Early Detection(RED), collaborative congestion control

中图分类号: