现代电子技术2026，Vol.49Issue(5)：77-82,6.DOI:10.16652/j.issn.1004-373x.2026.05.012
基于PerDQN的时间敏感网络保护带调度算法
TSN guard band scheduling algorithm based on PerDQN
摘要
Abstract
When the data frame is excessive long,the effective bandwidth utilization of the network will reduce due to redundant guard band.In view of this,a PerDQN-TAS method based on deep reinforcement learning PerDQN is proposed.The classical priority constrained knapsack problem(PCKP)is transformed into Markov decision processe(MDP).By introducing two new reward values(weighted sum of packet length and packet priority),the PerDQN-TAS model is trained to learn the optimal behavior to be taken in different states,so as to improve the cumulative priority while making full use of the available bandwidth in the guard band.Experimental results show that in comparison with the existing TAS(time-aware shaper)guard band algorithm,the bandwidth utilization of PerDQN-TAS consistently remains above 91%,which gradually increases with the initial remaining capacity of the guard band and ultimately reaches 98.1%.Simultaneously,the cumulative priority continues to rise and reaches 8.98 eventually.To sum up,the proposed algorithm improves the bandwidth utilization significantly.关键词
时间敏感网络/深度强化学习/通信服务/PerDQN/保护带/TASKey words
TSN/deep reinforcement learning/communication service/PerDQN/guard band/TAS分类
信息技术与安全科学引用本文复制引用
冼亚乔,王澄,杜娟,郇战..基于PerDQN的时间敏感网络保护带调度算法[J].现代电子技术,2026,49(5):77-82,6.基金项目
常州大学科研启动经费项目(ZMF22020117) （ZMF22020117）
江苏万泰电机有限公司横向项目(KYH23020487) （KYH23020487）
江苏省研究生科研与实践创新计划项目(KYCX23_3072) （KYCX23_3072）
