Unmanned aerial vehicles (UAVs), commonly known as drones, have emerged as versatile platforms with applications spanning various industries. From surveillance and monitoring to disaster response and infrastructure inspection. However, maintaining reliable communication between drones and ground stations is crucial. Path loss is a major challenge, affecting communication effectiveness. This paper explores reducing path loss using Particle Swarm Optimization (PSO). By utilizing the Rayleigh probability density function, the PSO algorithm, and Line of Sight Probability, we conducted an analysis of air-to-ground propagation by varying environmental and programming parameters. This comprehensive approach yielded a diverse range of results for the project. We provide insights into optimal drone placement across different environments. Looking ahead, future research can explore complex scenarios involving multiple UAVs, dynamic UAV networks, and coordinated UAV operations to further enhance the resilience, flexibility, and effectiveness of UAV-based communication systems in real-world environments. As technology continues to advance and regulations evolve, the potential for UAVs to transform various industries and aspects of daily life remains promising.