Poster: Drone Assisted Vehicular Communication (DAVN)

Since the last decade, researchers have been continuously trying to implement and evaluate the performance of DAVN's (drone-assisted vehicular networks). DA VN efficiently integrates the networking and communication technologies of drones with connected vehicles (CV). In this paper, we demonstrate DA VN for road weather data exchange in drone-to-vehicle and drone-to-infrastructure scenarios. We use the real-time road weather and road traffic data that we obtained during our pilot measurements of these pilot scenarios in Northern Finland to carry out these pilot scenarios. Later, the designed and executed test scenarios are added to Wireshark and NS-3 (Network Simulator) to evaluate the performance of the 5G and ITS-G5 networks. The performance evaluation for DA VN was performed by considering the following parameters: end-to-end latency, packet drop ratio (PDR), and average throughput.