Network congestion, packet loss, and high latency in the AODV routing protocol are significant obstacles to achieving reliable vehicle-to-vehicle (V2V) communication. Consequently, an update to the AODV protocol is necessary.
Marchenko, Michael +3 more
core +1 more source
Smart city traffic optimization using IoD and IoT integration. [PDF]
Yusuf A, Sheltami TR, Mahmoud A, Imam M.
europepmc +1 more source
Quantum federated learning for autonomous vehicle cybersecurity: An analytical review of architectures and threat landscapes. [PDF]
T S, Devadas RM.
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DAF-Aided ISAC Spatial Scattering Modulation for Multi-Hop V2V Networks. [PDF]
Fan Y +8 more
europepmc +1 more source
Feasibility and Engagement of a Peer-Driven Mobile Intervention for Adolescent E-Cigarette Cessation: Cluster Randomized Pilot Study. [PDF]
Sadasivam RS +8 more
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Robust service migration for autonomous vehicles leveraging deep learning and cooperative V2V protocols. [PDF]
Ahmadpanah SH, Sahafi A, Erfani SH.
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Vehicle-to-Vehicle Secure Communication Protocol Based on Digital Vehicle Identification Number. [PDF]
Escapa Gordón P +2 more
europepmc +1 more source
Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning. [PDF]
Liu Q, Ma Y.
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CNN-LSTM-AM approach for outdoor wireless optical communication systems. [PDF]
Abdelsattar M +3 more
europepmc +1 more source
Dynamic task offloading in vehicular networks using large language models for adaptive low latency decision making. [PDF]
Trabelsi Z, Ali M, Qayyum T, Tariq A.
europepmc +1 more source

