A Round-robin Scheduling Algorithm of Vehicle Gateway Node Based on Self-adaptive Weighted Learning

摘要：

　　How to decrease the gateway queue delay in the Train Communication Network (TCN) with heavy communication load is a key problem.This paper models the queue scheduling as a reinforcement learning process and presents a self-adaptive scheduling algorithm of vehicle gateway node based on self-adaptive weighted learning.The proposed algorithm can schedule the queues dynamically.We then compare the simulation results respectively under two circumstance:with enough band resource or with limited band resource.The proposed algorithms superiority is proved by simulation.

关键词： component gateway queue self-adaption weight round-robin scheduling

作者: Xiaoyong Zhang Jun Peng Shuo Li

作者单位: School of Information Science and Engineering Central South University Changsha,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 1742-1745

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）