Unmanned aerial vehicles (UAVs) are increasingly being utilized in wireless sensor networks (WSNs) to facilitate data collection from distributed sensor nodes. The proposed model addresses the challenges of limited flight endurance and energy inefficiency by integrating renewable energy sources, specifically solar power, along with wireless power transfer (WPT) for recharging. By optimizing the UAV’s energy consumption and managing recharging through solar energy and WPT stations, the model ensures sustained data collection operations. Simulated environments with varying wind conditions, sensor densities, and altitudes were used to evaluate the UAV’s performance. The results demonstrate the model’s ability to enhance operational endurance, minimize energy consumption, and ensure efficient data collection, making it a promising approach for long-term WSN applications and other energy-intensive scenarios.