Leveraging Artificial Intelligence and Unmanned Aerial Vehicle Internet of Things Synergy to Optimize and Enhance Robust Communication Networks in Underserved and Remote Regions

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.