The customization of edge computing services is one of the key research fields in sixth-
generation (6G) heterogeneous vehicular networks (HetVNETs). With various personalized …

Propelled by the growth of automotive industry, and the ubiquity of smart sensors, intelligent
transport systems such as the Internet of Vehicles (IoV) have seen significant research …

Currently, Edge computing (EC) paradigm is adopted to provision the low-latency resources
for the massive real-time services in Internet of vehicles (IoV). To alleviate the QoE (Quality …

Edge computing paradigms are expected to solve some major problems affecting current
application scenarios that rely on cloud computing resources to operate. These novel …

Vehicular edge computing (VEC) extends edge computing to vehicular networks by
exploiting computation resources of vehicles to offload tasks from other vehicles and …

Recent advances in artificial intelligence, big data, mobile edge computing and embedded
systems have successfully driven the emergence and adoption of smart vehicles and vehicle …

As a novel computing paradigm, multiaccess edge computing (MEC) migrates computing
and storage capabilities to edge nodes of the network to meet the requirements of executing …

Vehicular ad hoc networks (VANETs) has become an important part of modern intelligent
transportation systems (ITS). However, under the influence of malicious mobile vehicles …

Since traffic accidents occur frequently, a real-time video traffic reporting service is
necessary in vehicular networks for a prompt response to accidents. Although the fifth …

With the exponential growth of technologies such as IoT, edge computing, and 5G, a
tremendous amount of structured and unstructured data is being generated from different …