DRLO-VANET: a deep reinforcement learning-based offloading framework for low-latency and energy-efficient task execution in VANETs. [PDF]
Sci RepNeelima S, Sree SR, Ramakrishnaiah N.
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Quantum-resistant hybrid encryption framework for secure and intelligent Vehicle-to-Vehicle communication using deep representation learning models. [PDF]
Sci RepHasanin T +7 more
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Modeling and simulation of VANET routing protocols under realistic mobility patterns. [PDF]
Sci RepSharma S, Kour S, Sarangal H.
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On Reputation and Data-centric Misbehavior Detection Mechanisms for VANET
, 2011 Vehicular ad hoc networks (VANET) is a class of ad hoc networks build to ensure the safety of traffic. This is important because accidents claim many lives.
Huang, Zhen
core
Enhancing urban vehicular communication and safety through HMM-OCR. [PDF]
Sci RepJuvvalapalem S, Kanagaraj V.
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Energy-efficient fragmentation-aware dual adaptive collision-free bit mapping MAC protocol for VANET. [PDF]
Sci RepAlanazi F +5 more
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Hybrid deep learning techniques for adaptive routing and congestion control in urban VANET for wireless mobile networking. [PDF]
Sci RepMaray M.
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Blockchain-based secure MEC model for VANETs using hybrid networks. [PDF]
Sci RepGoud GV +5 more
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A machine learning based scheme for enhancing the detection of position falsification attacks in vehicular ad hoc networks. [PDF]
Sci RepAbdelkreem E, Hussein S, Tammam A.
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FL-trafficNet: a hybrid federated transformer-GNN framework with dual attention for smart routing in IoV and VANET environments. [PDF]
Sci RepNarsimhulu P, Sahay R.
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