Özet:

Abstract Unmanned Aerial Vehicles (UAVs) serve a lot of key roles in human lives. It has been shown that UAVs can be clustered in different ways to form swarm networks. One such type of swarm network is a Flying Ad-Hoc Network (FANET). In a FANET, the ground station communicates with one focal UAV to control the entire network, which makes the focal UAV highly prone to a communication security attack. Such an attack has to be averted by introducing additional features of security into the network. A recent research emphasis has been on the use of Intelligent Reflecting Surfaces (IRS) for improving the physical layer security in communication networks. Hence, its relevance to UAV networks cannot be ignored because of the wide range of purposes that UAVs promise to serve in the coming days. These surfaces consist of nanoscale antennas that can tailor the wavefronts of incident electromagnetic waves and reflect them to the UAV. The communication in such metasurface-assisted swarm networks can be modelled by means of mathematical expressions. In this letter, a model for the enhancement of physical layer security of FANETs through phase control IRS has been proposed along with simulation results. The simulation results show the relationships between different network parameters and secrecy performance.

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