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作 者:燕云飞 朱元[1] 栗彬琦 钟旭 Yan Yunfei;Zhu Yuan;Li Binqi;Zhong Xu(Tongji University,Shanghai 201804)
机构地区:[1]同济大学,上海201804
出 处:《汽车技术》2024年第10期43-48,共6页Automobile Technology
基 金:南昌市汽车智能与新能源研究所前瞻技术研究(TPD-TC202211-07);联合汽车电子有限公司高级研究项目(NE-2023-06)。
摘 要:为了保障网络实时性传输需求,提升调度成功率,提出了具有实时感知的AVB流路由与调度算法,模拟车载时间敏感网络(TSN)场景下,音视频桥(AVB)流传输情况,并分析算法对网络调度成功率的影响。试验结果表明:随着数据流数量增加,相较于非实时感知算法与部分实时感知算法,具有实时感知的AVB流路由与调度算法使网络调度成功率分别提升26%和11%,该算法可优化TSN网络对AVB流的带宽预留,实现对数据流路由和报文信息的实时感知。In order to ensure the real-time transmission requirements of the network and improve the success rate of scheduling,an Audio Video Bridging(AVB)stream routing and scheduling algorithm with real-time perception is proposed to simulate the AVB stream transmission in the scenario of vehicle-mounted Time-Sensitive Networking(TSN),and the influence of the proposed algorithm on the success rate of network scheduling is analyzed.The experimental results show that with the increase of the number of data flows,compared with the non-real-time perception algorithm and some real-time perception algorithms,the AVB flow routing and scheduling algorithm with real-time perception increases the success rate of network scheduling by 26%and 11%respectively,and the algorithm can optimize the bandwidth reservation of AVB flow in the TSN network and realize the real-time perception of data flow routing and packet information.
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