1.西安邮电大学通信与信息工程学院,陕西 西安 710061
2.西安电子科技大学空天地一体化综合业务网全国重点实验室,陕西 西安 710071
[ "郑凌(1989‒ ),男,博士,西安邮电大学通信与信息工程学院讲师,西安电子科技大学空天地一体化综合业务网全国重点实验室博士后,主要研究方向为确定性网络、高性能路由交换、光计算赋能的智能信息处理、基于FPGA的人工智能算法硬件加速。" ]
[ "魏国栋(2000‒ ),男,西安邮电大学通信与信息工程学院硕士生,主要研究方向为时间敏感网络、高性能交换。" ]
[ "潘伟涛(1981‒ ),男,博士,西安电子科技大学空天地一体化综合业务网全国重点实验室副教授,主要研究方向为与高速可编程网络相关的FPGA及芯片实现、网络协议卸载加速、RDMA网卡、星载路由器、星载数字透明处理器、时间触发以太网/TSN FPGA及芯片实现。" ]
[ "张科遥(2000‒ ),男,西安邮电大学通信与信息工程学院硕士生,主要研究方向为时间敏感网络、高性能交换。" ]
[ "褚宏云(1984‒ ),女,博士,西安邮电大学通信与信息工程学院讲师,主要研究方向为无线通信系统、电磁信号处理、图像信号处理。" ]
收稿:2024-08-22,
修回:2025-04-30,
纸质出版:2025-09-10
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郑凌,魏国栋,潘伟涛等.面向车载时间敏感网络的时间感知最大匹配流量调度算法[J].物联网学报,2025,09(03):48-59.
ZHENG Ling,WEI Guodong,PAN Weitao,et al.Time-aware traffic scheduling algorithm based on maximum matching for in-vehicle time-sensitive networks[J].Chinese Journal on Internet of Things,2025,09(03):48-59.
郑凌,魏国栋,潘伟涛等.面向车载时间敏感网络的时间感知最大匹配流量调度算法[J].物联网学报,2025,09(03):48-59. DOI: 10.11959/j.issn.2096-3750.2025.00431.
ZHENG Ling,WEI Guodong,PAN Weitao,et al.Time-aware traffic scheduling algorithm based on maximum matching for in-vehicle time-sensitive networks[J].Chinese Journal on Internet of Things,2025,09(03):48-59. DOI: 10.11959/j.issn.2096-3750.2025.00431.
随着车联网技术的逐步应用,对车内网络数据传输的实时性、确定性及可靠性提出了更高的要求。针对车载网络中数据转发不及时、分组传输时延大、调度算法复杂度高等问题,提出了一种时间感知的最大匹配流量调度算法。该算法将输入排队的调度问题转化为具有截止期保障的最大流匹配的问题,并逐时隙实现最大权重匹配调度。在调度集合中含有两种或多种截止期的调度任务中,充分利用空闲链路和空闲时隙资源,预推送截止期较大的分组。该算法有效地提高了交换系统的吞吐率,降低了分组的平均时延。仿真结果表明,所提算法相较于传统调度算法吞吐率性能提升了5%~15%、分组平均时延性能提升了15%~46%。
With the application of the Internet of vehicles
the real-time
deterministic
and reliable data transmission for the in-vehicle networks become crucial. In response to the issues of untimely data forwarding
high packet transmission delay
and high complexity of scheduling algorithms in-vehicle time-sensitive networks
a time-aware traffic scheduling algorithm based on maximum matching was proposed. This algorithm transformed the input queuing scheduling problem into a maximum flow matching problem with deadline guarantees and achieved maximum weight matching scheduling on a per-slot basis. In scheduling sets containing tasks with two or more deadlines
idle link and slot resources were fully utilized to pre-push packets with larger deadlines. This effectively improved the throughput of the switching system and reduced the average packet delay. Simulation results demonstrate that compared with traditional scheduling algorithms
the proposed algorithm achieves 5%~15% throughput performance improvement and 15%~46% average packet delay performance improvement.
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