Abstract

Drones (UAVs) have outstanding capability for remotely providing internet services to hard-to-reach places as well as to areas affected by disasters. This paper presents a novel approach that focuses on energy efficiency for mobility frameworks in drone internet access systems by optimizing flight path scheduling to achieve maximum coverage and minimal energy expenditure. The framework achieved enhanced reliability in coverage and significant energy savings compared to conventional UAV deployments, as demonstrated in simulations and case studies conducted within the context of a flood-related emergency. Dynamic reallocation strategies for maintenance in challenging operating environments are also discussed, along with practical considerations for large-scale deployment. These results highlight the advanced intelligent UAV networks' ability to overcome the difficulties of maintaining resilient and dependable wireless communication services in emergencies and underserved areas.