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This article presents an AI-enhanced routing and slicing framework for Mobile Ad Hoc Networks (MANETs) that utilizes Deep Reinforcement Learning (DRL) and adaptive Network Slicing (NS) to improve Quality of Service (QoS). The proposed method significantly reduces average delay by 37%, increases throughput by 1.8 times, and enhances packet delivery ratio by 22% compared to traditional protocols like AODV and DSR. The integration of intelligent routing with agile slicing is shown to be effective in maintainin

Author

Hoc Nor

Language

EN