Reliable Data Exchange in UAV Swarm Networks Using Advanced Networking Techniques

In recent decades, there has been a growing demand for eco-friendly unmanned aerial vehicles (UAVs) in both civilian and military domains. This has created interest among scholars and industry experts who envision Flying Ad-hoc Networks (FANETs) supplanting conventional networks in contexts such as surveillance, disaster management, precision agriculture, and logistics. Despite the constraints of UAV resources, it is crucial to optimize UAV resource utilization to extend network lifespan and uphold a satisfactory quality of experience (QoE). This study examines the application of the Fisheye State Routing (FSR) protocol to facilitate communication among multiple UAVs within a dynamic network framework, utilizing a 3×3 Manhattan Grid mobility model that captures continuous node movement and network topology changes. The effectiveness of FSR in FANETs is evaluated using various network performance metrics, including packet delivery ratio, packet drop rate, end-to-end delay, channel utilization, throughput, and jitter. The analysis is performed in two distinct network scenarios with twenty and thirty nodes, respectively. The routing system employs UAV resources to attain packet delivery ratios of 46% and 53% across both scenarios, while preserving channel utilization and throughput. Furthermore, as compared to other routing protocols, FSR exhibits minimal end-to-end latencies of 0.010 and 0.244 seconds, along with reduced jitter. Overall, the proposed technique outperforms prior topology-based routing protocols in terms of resource utilization and performance.