AI-Empowered Flying Ad-Hoc Networks for Dynamic Connectivity

Abstract

Flying Ad-Hoc Networks (FANETs) are an innovative communication paradigm that harnesses the capabilities of aerial nodes to establish dynamic and adaptable networks. The integration of Artificial Intelligence (AI) techniques into FANETs marks a revolutionary approach to tackling the challenges associated with achieving and maintaining connectivity in dynamic aerial scenarios. The objective of this paper outlines the significance of Flying Ad-Hoc Networks (FANETs), emphasizing the integration of Artificial Intelligence (AI) techniques to revolutionize dynamic aerial communication. It explores AI's impact on FANET capabilities, enabling advanced path planning, adaptive routing, and innovative communication protocols for efficient and reliable data exchange. The abstract delves into AI's role in optimizing energy consumption, managing power resources intelligently to extend the aerial node lifespan and ensure sustained connectivity. Security enhancement through AI fortifies FANETs against cyber threats, intrusion, and anomalies, ensuring robustness and resilience. The abstract also highlights AI's influence on real-time decision-making processes, empowering drones to adapt to evolving conditions and enhance overall FANET performance. Real-world applications illustrate the versatility of AI-Empowered FANETs across disaster response, environmental monitoring, surveillance, and various industries. Synthesizing AI advancements and challenges, the abstract underscores the transformative potential of FANETs in dynamic aerial connectivity, positioning them as a cornerstone of intelligent communication in ever-changing airborne environments.