Applying Neural Network to Improve TCP Performanceover Distributed Spaceflight TT&C Networks

摘要：

A backpropagation neural network classifier is presented, which can classify packet loss cause over TT&C (tracking, telemetry, and command) networks. In TT&C networks, there are many packet losses are due to link errors, but not due to network congestions; and then TCP often reduces its data rate mistakenly, cannot keep a reasonable data rate. Based on the packet loss classifier, TCP–BP algorithm is proposed. The result of our simulation shows that the TCP-BP algorithm is superior to Vegas and Reno algorithm.

作者: Changqing GONG Qingjie MENG Linna ZHAO Xiaoxia BI

作者单位: Shenyang Institute of Aeronautical Engineering, China Inner Mongolia University for Nationalities, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）