Optimized stacked ensemble approach for detecting position falsification in VANETs. [PDF]
Saranya K, Ramakrishnan S.
europepmc +1 more source
DRLO-VANET: a deep reinforcement learning-based offloading framework for low-latency and energy-efficient task execution in VANETs. [PDF]
Neelima S, Sree SR, Ramakrishnaiah N.
europepmc +1 more source
Quantum-resistant hybrid encryption framework for secure and intelligent Vehicle-to-Vehicle communication using deep representation learning models. [PDF]
Hasanin T +7 more
europepmc +1 more source
Modeling and simulation of VANET routing protocols under realistic mobility patterns. [PDF]
Sharma S, Kour S, Sarangal H.
europepmc +1 more source
An Efficient Routing Protocol for VANET
A report by World Health Organization (WHO) affirms that 1.2 million people die because ofroad accidents every year(World Health Organization, 2015).
Kumar, Sushil
core
Enhancing urban vehicular communication and safety through HMM-OCR. [PDF]
Juvvalapalem S, Kanagaraj V.
europepmc +1 more source
Energy-efficient fragmentation-aware dual adaptive collision-free bit mapping MAC protocol for VANET. [PDF]
Alanazi F +5 more
europepmc +1 more source
Blockchain-based secure MEC model for VANETs using hybrid networks. [PDF]
Goud GV +5 more
europepmc +1 more source
Hybrid deep learning techniques for adaptive routing and congestion control in urban VANET for wireless mobile networking. [PDF]
Maray M.
europepmc +1 more source
A machine learning based scheme for enhancing the detection of position falsification attacks in vehicular ad hoc networks. [PDF]
Abdelkreem E, Hussein S, Tammam A.
europepmc +1 more source

