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Adi Surendra Mohanraju M

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#reinforcement learning Open access Oct 2026

A QMIX-driven routing protocol for dynamic Underwater Acoustic Sensor Networks

Reliable and energy-efficient data collection remains a fundamental challenge in Underwater Acoustic Sensor Networks (UASNs) owing to limited battery capacity, high propagation delay, dynamic network topology and unreliable communication links. To address these challenges, we propose a Cooperative Multi-Agent Reinf...

Adi Surendra Mohanraju M, A. Lokam, Kiran Dasari · 0 citations

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