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作 者:李竟博 马礼 李阳[2] 傅颖勋 马东超 LI Jingbo;MA Li;LI Yang;FU Yingxun;MA Dongchao(Faculty of Information Technology,Beijing University of Technology,Beijing 100124,China;School of Information Science and Technology,North China University of Technology,Beijing 100144,China)
机构地区:[1]北京工业大学信息学部,北京100124 [2]北方工业大学信息学院,北京100144
出 处:《通信学报》2023年第6期12-22,共11页Journal on Communications
基 金:国家自然科学基金资助项目(No.62272007,No.62001007);北京市自然科学基金资助项目(No.4234083,No.4212018)。
摘 要:针对工业互联网中感知传输端到计算端的新型场景与时间敏感的需求,解决应用中端到端时延不达标的问题,提出了一种感知传输协同计算组网优化设计方案。首先,提出了基于云边端的感传算协同网络架构,促进多维系统和异构资源的深度融合。其次,对网络拓扑构建方式进行优化,降低网络的平均路径长度,缩短传播距离,抵消使用更高频率导致的信号衰弱变快的问题。最后,改进路由选择方法,并设计拓扑优化和路由策略集成算法,降低网络内排队时延,将端到端时延控制在有界范围内,削弱“长尾现象”。实验结果表明,所提方案通过优化网络拓扑结构和路由策略并集成设计,降低了端到端时延,保证了网络的实时性和可靠性。In view of the new scenario and time-sensitive requirements of sensing-transmission end to computing end in the industrial Internet,and to solve the problem of end-to-end delay in applications that were not up to standard,a network optimized design scheme for sensing-transmission cooperative computing was proposed.First,the sensing-transmission computing cooperative network architecture based on cloud-edge-end was proposed to promote the deep integration of multidimensional systems and heterogeneous resources.Secondly,the network topology construction mode was optimized to reduce the average path length of the network,shorten the propagation distance,and offset the problem of signal decay due to the use of higher frequencies.Finally,the routing method was improved,and an integrated algorithm of topology optimization and routing strategy was designed to reduce the queuing delay in the network,control the end-to-end delay within a bounded range,and weaken the“long tail phenomenon”.The experimental results show that the scheme reduces the end-to-end delay and ensures the real-time and reliability of the network by optimizing the network topology and routing strategy and integrating the design.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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