Efficient transmission control is a challenging issue in vehicular networks due to the highly
dynamic and unpredictable link status. In this paper, we propose a cybertwin-driven learning …

Efficient transmission control is an intricate issue in vehicular networks due to the inherent
topology dynamics and unreliable link conditions. Leveraging flexible management in …

The Cognitive Internet of Vehicles (CIoV) is an intelligent network that embeds the cognitive
mechanism in the Internet of Vehicles (IoV) to sense the environment and observe the …

The rapid growth in the transportation sector has led to the emergence of smart vehicles that
are equipped with ICT. These modern smart vehicles are connected to the Internet to access …

Driven by the expeditious evolution of the Internet of Things, the conventional vehicular ad
hoc networks will progress toward the Internet of Vehicles (IoV). With the rapid development …

As an important application scenario of 5G, the vehicular network has a huge amount of
computing data, which brings challenges to the scarce network resources. Mobile edge …

In Software Defined Vehicular Networks (SDVNs), most existing studies of routing consider
the vehicular network as a static graph and compute the flow table based on static …

Software-defined vehicular network (SDVN) effectively improves programmability and
flexibility of VANET through software-defined network (SDN) features. To address the …

Links in vehicular networks are highly dynamic and generally exist only for a limited amount
of time. Moreover, data packets are generally transmitted over multiple hops and have …

Due to the high density of vehicles and various types of vehicular services, it is challenging
to guarantee the quality of vehicular services in current Long-Term Evolution (LTE) networks …