TY  - EJOU
AU  - Slimani, Khadija 
AU  - Khoulji, Samira 
AU  - Taherdoost, Hamed 
AU  - Kerkeb, Mohamed Larbi 

TI  - Real-Time and Energy-Aware UAV Routing: A Scalable DAR Approach for Future 6G Systems
T2  - Computers, Materials \& Continua

PY  - 2025
VL  - 85
IS  - 3
SN  - 1546-2226

AB  - The integration of the dynamic adaptive routing (DAR) algorithm in unmanned aerial vehicle (UAV) networks offers a significant advancement in addressing the challenges posed by next-generation communication systems like 6G. DAR’s innovative framework incorporates real-time path adjustments, energy-aware routing, and predictive models, optimizing reliability, latency, and energy efficiency in UAV operations. This study demonstrated DAR’s superior performance in dynamic, large-scale environments, proving its adaptability and scalability for real-time applications. As 6G networks evolve, challenges such as bandwidth demands, global spectrum management, security vulnerabilities, and financial feasibility become prominent. DAR aligns with these demands by offering robust solutions that enhance data transmission while ensuring network reliability. However, obstacles like global route optimization and signal interference in urban areas necessitate further refinement. Future directions should explore hybrid approaches, the integration of machine learning, and comprehensive real-world testing to maximize DAR’s capabilities. The findings underscore DAR’s pivotal role in enabling efficient and sustainable UAV communication systems, contributing to the broader landscape of wireless technology and laying a foundation for the seamless transition to 6G networks.
KW  - Dynamic adaptive routing (DAR); energy-aware routing; scalability and reliability; UAV networks; 6G communication systems

DO  - 10.32604/cmc.2025.070173