Unmanned aerial vehicles (UAVs) have shown tremendous potential in both military and civilian applications, for example, in delivery services, search and rescue, and surveillance. Currently, UAVs can perform several tasks while in flight. UAVs have real-time systems with limited capability for time-triggered synchronization, which impose synchronization limitations for their platforms. Additionally, there is no timetriggered synchronization between the UAVs and the ground station. One of the requirements for a reliable communication links between a UAV and a ground station is the need for synchronization using Global Navigation Satellite System (GNSS) in a time-triggered network. However, the information exchange between UAV and ground station lacks the time-triggered abilities. In this context, GNSS time can be used as an external source to allow UAV performing tasks connected to the ground station with time-stamped messages. In this paper, we investigate the capability of GNSS as an external time source for the timetriggered network to achieve high quality of service (QoS) of a communication link between the ground station and UAV. Simulations analysis was conducted to evaluate the overall system performance, which gives a better understanding of performance of a time-triggered wired and wireless network.

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Significant developments are made in unmanned aerial vehicles (UAVs) and in avionics, where messages sent in the network with critical Time play a vital role. Several studies in Time-Triggered Ethernet have been carried out, but these studies. Still, these improving QoS such as latency in end-to-end delays of an internally synchronized TTE network. However, no one monitors integrated modular avionics. We proposed a framework that enables TTE to be externally synchronized from a GNSS to overcome this problem. We have incorporated our proposed Algorithm in the TTE protocol based on specific parameters and multiple existing algorithms. The proposed Algorithm gives us the ability to control and synchronize the TTE network. Also, we have a developed scenario for analyzing the performance of externally synchronized end-to-end latency of TT messages in a TTE network.We simulated scenarios in our framework and analyzed QoS but, more specifically, the latency that affects the performance of time-triggered messages in externally synchronized TTE networks. The result shows that our proposed framework outperforms existing approaches.