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Dynamic model reduction using modal truncation in the building motion problemModal truncation, an advanced algorithm for model reduction in dynamic systems, efficiently simplifies complex models by selectively discarding less influential eigenmodes, maintaining a balance... Author: Vũ Nguyệt Thị Keyword: Modal truncation model reduction dynamic systems eigenmode analysis duilding motion model
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Distributed graph neural network-based anti-jamming for scalable and energy-constrained IoT networksThis paper presents a distributed graph neural network (GNN) framework for anti-jamming in large-scale IoT systems with dynamic interference and strict energy constraints. The proposed approach... Author: Hue Tran Thi Keyword: Distributed graph neural networks Anti-jamming communications Internet of Things Energy-efficient networking Scalable wireless networks
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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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Adaptive Reflection Control for Anti-Jamming Backscatter Communication under Dynamic InterferenceBackscatter communication is a key enabling technology for ultra-low-power Internet of Things (IoT) systems; however, the inherently weak reflected signals make the communication links highly... Author: Hiep Le Hoang, Tran Minh Duy Keyword: Anti-jamming backscatter communication Adaptive reflection control Interference-resilient IoT networks Dynamic jamming mitigation Energy-efficient backscatter systems
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