UAVs-Based Mobile Radars for Real-Time Highways Surveillance

Abstract

Recently, drones also known as UAVs for Unmanned Aerial Vehicles have had a great place in the civil and industrial field. They can be deployed in an ad hoc manner and operate collaboratively within a fleet known as Flying AdHoc Network (FANET). This kind of deployment can be found in some real-time applications where it is difficult to intervene, as it is the case in natural disasters. In our paper, we proposed a new application using drones to help police officers to verbalize drivers on real-time. The idea is to use radar drones to monitor highways against traffic violations and then transmit the captured images to a ground police patrol or to the police data centre. If the UAV fleet is close to the ground Base Station (BS), drones broadcast the captured images directly to the BS. However, if the fleet is far away, the UAVs are forced to go back and forth to the BS while the major issue for UAVs is the limited lifetime of their batteries. To solve this problem and ensure real-time transmission during highways surveillance, we introduced vehicles on the ground as an alternative solution that meets the requirements of our network. This mechanism is called vehicles-assisted UAVs Network. For the validation of our proposed model, some simulations have been made using NS-3 simulator. The results of our simulation show that our model is very promising in terms of delay, packet delivery ratio, and energy consumption.