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Analysis of SDN based IIoT networks Targeting Automation Processes in Smart Factory Environments

机译:基于SDN的IIT网络定位智能工厂环境自动化过程的分析

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Communication and networking infrastructure is the backbone to Automation systems in the Industry 4.0. Performance improvements of IIoT networks using Software Defined Networking (SDN) can be analysed observing QoS metrics like Reliability, delay etc to make autonomous processes resilient. An example floor plan of the manufacturing industry with machines, sensors, actuators, equipment etc. connected to a wired/wireless networks is simulated in the mininet platform. Simulations are performed with respect to different network topologies, traffic patterns, node density etc. It is observed from the results that suggestions can be given to improve the network performance to dynamically adapt to optimal topology/traffic pattern for an existing or to be commissioned factory network. It is observed from the results of this work that the impact of the different topologies will affect the delay significantly and analysis of this work gives an insight of effects of topology, node density, no of hops, link breakages etc on IIoT networks. The SDN mesh topology showed an increased delay of 26% compared to the tree topology and industries may implement mesh topology if reliability is critical for the processes at the trade-off of increased delay.
机译:通信和网络基础设施是业内自动化系统的骨干4.0。可以分析使用软件定义网络(SDN)的IIT网络的性能改进,例如可靠性,延迟等,以使自主过程有弹性。与有线/无线网络连接的机器,传感器,执行器,设备等的制造业的示例平面图在MinInet平台中模拟。从不同的网络拓扑,流量模式,节点密度等执行模拟。从结果观察到可以给出建议来改善网络性能,以动态适应现有或被调试工厂的最佳拓扑/流量模式网络。从这项工作的结果观察到不同拓扑的影响将显着影响延迟,并且对这项工作的分析介绍了IIT网络上的拓扑,节点密度,跳跃,连结等的影响。与树拓扑结构相比,SDN网状网状拓扑显示出增加26%,如果可靠性对于折衷延迟的权衡的过程至关重要,则可以实现网格拓扑。

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