Digital Twin-based Software-defined UAV Networks Using Queuing Model

In order to deploy unmanned aerial vehicles (UAVs) in a variety of scenarios and to ensure the performance, reliability, and safety of these systems, a flexible and adaptable core network infrastructure is required. In this regard, software-defined network (SDN), allows the centralized control and coordination using software rather than traditional hardware-based controllers for the operation of UAVs to provide a flexible and scalable platform. On the other hand, digital twin (DT) technology has the potential which can provide real-time monitoring, analysis, and virtualization of network performance with rapid prototyping and testing to revolutionize the way that software-defined UAV networks are designed, implemented, and maintained. Therefore, in this paper, DT integrated approach for software-defined UAV networks is proposed with a routing flow adjustment algorithm. We also demonstrate its capability through the M/M/1 queueing model. Results have shown that our proposal outperforms typical queueing models without the integration of SDN and DT in terms of efficiency, reliability, and agility of UAV networks and provides visualized network analyzing platform with real-time monitoring feature.