Unmanned Aerial Vehicles (UAVs) are airborne nodes that are controlled remotely from ground stations. They have been used in a variety of applications in recent years, including disaster management, military operations, search and rescue, ecological study, and others. Among the advancements, the notion of Flying Ad-hoc Networks (FANETs) stands out. FANET, functions remotely like Mobile Ad-hoc Networks (MANETs) and Vehicular Ad-hoc Networks (VANETs), are an advancement over standard networking systems. Ad-hoc networks are necessary for both civilian and military operations, demanding a variety of support systems. In Ad-hoc Networks, data is always sent under all situations, which is required for seamless communication across all UAVs. In contrast, the complex dynamics and ever-changing topology of UAV networks make it difficult for researchers to integrate efficient routing procedures into FANETs. The accomplishment of UAV routing procedures is related to the total network's success rate. Producing a routing system capable of cost- effective and reliable data transfer in such a difficult environment is a difficult assuming. In this study, we look at routing protocols using the NS3 simulator. In this research, we investigate routing protocols using the NS3 simulator. The study looks at the effectiveness of several UAV routing protocols, including Ad-Hoc On-Demand Distance Vector (AODV), Destination Sequenced Distance Vector (DSDV), and Optimized Link State Routing (OLSR). These protocols' performance is evaluated using a variety of measures, including Packet Delivery Ratio (PDR), Packet Loss Ratio (PLR), Throughput, End-to-End Delay, and Jitter Delay. The findings estimation the effectiveness of routing processes in the presence of varying UAV speeds. This research carefully explores how different routing protocols function under varied UAV intensities and speeds.
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Gupta et al. (2024) studied this question.
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