Wireless Drone Networks (WDNs) use hierarchical tree topologies to improve data aggregation, scalability, and energy efficiency in remote settings. This research investigates the design and performance of a tree-based WDN architecture with Master Devices (MDs) and Sensor Devices (SDs) managed by a centralized Control Center (CC). The proposed design improves network stability, lowers latency, and streamlines routing in dynamic drone deployments. Among different systems, the hierarchical tree topology stands out for its scalability, efficient communication, and low latency. Drones are arranged into layers in this concept, with small drones (SDs) collecting data and transmitting it to medium drones (MDs), who subsequently transfer the information to a central control center. This structured communication flow improves reliability while minimizing bandwidth congestion. This research investigates the look, operation, or benefits Complex tree design in Wi-Fi drones systems, emphasizing its potential applications in emergency management, smart agriculture, and real-time monitoring. Simulations and analytical models show it outperforms flat designs, notably in large-scale surveillance, disaster response, and applications.