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GNN-enhanced multi-agent DRL for adaptive anti-jamming routing in MANETsThis paper proposes a GNN-enhanced multi-agent deep reinforcement learning framework for antijamming routing in mobile ad hoc networks. The approach combines temporal graph representations with... Author: Hanh Vu My, Oanh Le Thi Kieu Keyword: MANET Anti-jamming Graph Neural Networks (GNN) Multi-Agent Reinforcement Learning (MARL) Adversarial Learning
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Trust-aware blockchain-assisted multi-agent DRL for secure and scalable routing in IoT-enabled MANETsThis paper proposes a trust-aware blockchain-assisted multi-agent deep reinforcement learning (MADRL) framework for secure and scalable routing in IoT-enabled Mobile Ad Hoc Networks (MANETs) under... Author: Phuong Hoang Thi Keyword: IoT networks Secure routing Blockchain Multi-agent deep reinforcement learning (MADRL) Double Deep Q-Network (DDQN)
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RiskAdversarial GNN-DRL framework for Robust communication in hostile MANET environmentsMobile ad hoc networks (MANETs) operating in hostile environments are vulnerable to coordinated wireless, routing, trust, and topology attacks. This paper proposes a tri-level
adversarial GNN–DRL... Author: Hoan Tran Quoc Keyword: Mobile ad-hoc networks Adversarial graph neural networks Trust-aware graph recovery Hierarchical deep reinforcement learning Self-play learning.
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