ABSTRACT Nowadays, machine learning (ML), which is one of the most rapidly growing
technical tools, is extensively used to solve critical challenges in various domains. Vehicular …

Nowadays, machine learning (ML), which is one of the most rapidly growing technical tools,
is extensively used to solve critical challenges in various domains. Vehicular ad hoc network …

Abstract Vehicular Ad hoc Networks (VANET) becomes more popular in industry, academia
and government. However, Typical VANET is challenged by high speed mobility and …

Abstract Cognitive Radio (CR) based Vehicular Ad hoc Network (VANET) or CR-VANET has
become a very promising research domain. VANET is used to reduce road accidents, traffic …

VANET and cognitive radio network (CRN) are both new emerging technologies in wireless
networking. The application of CR concept in wireless communication systems for intelligent …

With the increasing number of vehicles there needs to be efficient connectivity among the
vehicles and the infrastructure. In vehicular network several issues may arise with respect to …

With growing interest in using cognitive radio (CR) technology in wireless communication
systems for vehicles, it is envisioned that future vehicles will be CR-enabled. This paper …

Smart transportation systems implemented through vehicular ad hoc networks (VANET) offer
significant potential to improve safety. However, the network faces critical challenges related …

Abstract Cognitive Radio Vehicular Ad-hoc Networks (CR-VANETs) exploit cognitive radios
to allow vehicles to access the unused channels in their radio environment. Thus, CR …

Deep learning (DL) based cognitive radio networks (CRN) serve as a potential solution to
the dilemma posed by spectrum limits and the rising demand for vehicular ad hoc networks …