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首页> 外文期刊>IEEE transactions on industrial informatics >Softwarized Industrial Deterministic Networking Based on Unmanned Aerial Vehicles
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Softwarized Industrial Deterministic Networking Based on Unmanned Aerial Vehicles

机译：基于无人空中车辆的软氟化工业确定性网络

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摘要

Guaranteeing network transmission is one of the most challenging issues in industrial informatization. In the industrial sites without proper networking infrastructure, by deploying unmanned aerial vehicles (UAV), transmission-oriented cyber-physical system (CPS) is an excellent candidate to exploit to provide transmission. In this article, we focus on establishing deterministic network transmission (DNT) using UAV-based CPS, complying with the principles in time sensitive network/deterministic networking in industrial internet. The software-defined networking (SDN) paradigm is adopted for UAVs-based CPS to achieve global optimization. First, we build the coordinate-based global topology view in the SDN controller to manage and control UAVs by integrating UAVs into the view and applying the network positioning method. Then, we introduce a hop-limited time synchronization approach to improve accuracy by reducing synchronization deviation. Last, based on the view, a geometric multipath generating method is proposed to enhance reliability by reducing the joint degree of multiple paths and facilitating convergence. The extensive simulation experiments show that our proposed UAV-CPS allows DNT to provide better reliability with reduced latency.
机译：保证网络传输是工业信息化最具挑战性的问题之一。在没有适当的网络基础设施的工业部位，通过部署无人驾驶飞行器（UAV），导向导向的网络物理系统（CPS）是利用提供传输的优秀候选者。在本文中，我们专注于使用基于UV的CP建立确定性网络传输（DNT），符合工业互联网中的时间敏感网络/确定性网络的原理。采用软件定义的网络（SDN）范例为基于无人机的CP，实现全局优化。首先，我们通过将无人机集成到视图并应​​用网络定位方法来构建SDN控制器中基于坐标的全局拓扑视图来管理和控制无人机。然后，我们通过降低同步偏差来提高跳跃限时的时间同步方法来提高准确性。最后，基于视图，提出了一种几何多径生成方法来提高可靠性来降低多路径的联合度并促进收敛。广泛的仿真实验表明，我们提出的UAV-CP允许DNT提供更好的可靠性，降低延迟。

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