Abstract

The integration of AI with UAVs and IoT is prognosed as an innovative solution to set up communication networks in remote or rural areas that are not covered due to the absence of traditional infrastructure, aligning with "Industry, innovation and infrastructure" goals. This paper strategizes its plan in a way whereby UAVs dynamically manage resources for communication links between IoT sensors placed over a two-dimensional space. Advanced AI techniques significantly improve all available network parameters, like coverage, adaptability, and energy efficiency towards the achievement of reliable real-time communications. About 35% communication coverage improvement as well as 28% network adaptability for different scenarios together with about 20% lower energy consumption compared to standard UAV-based systems are some highlights of the results obtained through simulations. Emerging from these results is thereby underscored potential application interest that ranges from disaster management by precision agriculture to even environment monitoring support providing scalable yet resilient networks across disadvantaged regions.