Congestion-aware trusted route selection scheme in flying Ad-hoc network

Unmanned Aerial Vehicles (UAVs), also known as drones, pose recent challenges in emergency applications due to packet loss and dynamic network topology changes. The increasing presence of UAVs in the airspace has led to the emergence of Flying Ad Hoc Networks (FANETs), which can enhance ad hoc missions. However, developing a routing scheme for such a network becomes complex due to resource constraints and dynamic topology. A trust-based routing based on Ant Colony Optimization (ACO) is proposed for FANETs to address these challenges. The hybrid nature of trust is computed to identify the non-cooperative drones/UAVs. The ACO-based scheme then uses this trust score to establish a secure route through the leader's drones/UAVs. The proposed scheme is designed to support flexible, dynamic communication within such a network. This approach improves FANET performance by enhancing resilience, dependability, and extended route stability. It provides reliable route-selection schemes based on ACO. The simulation results demonstrate significant improvements, with a ۲۱% reduction in latency and a ۱۷% decrease in routing overhead. Furthermore, the proposed scheme's Packet Delivery Ratio (PDR) outperforms by more than ۲۶%, compared to the SecRIP and UNION schemes.

کلیدواژه ها:

Trust ، ant-colony optimization ، routing ، Clustering ، Leader drone