With the development of the mobile communication technology, a wide variety of envisioned
intelligent transportation systems have emerged and put forward more stringent …

Recently, the trends of automation and intelligence in vehicular networks have led to the
emergence of intelligent connected vehicles (ICVs), and various intelligent applications like …

To reduce computing delay and energy consumption in the Vehicular networks, the total cost
of task offloading, namely delay and energy consumption, is studied. A task offloading model …

Resource-intensive applications on smart vehicles is posing difficulties to the use of
traditional cloud computing for computation offloading in vehicular networks. In particular …

With the continuous development of the Internet of Vehicles (IoV), Vehicle Edge Computing
(VEC) has become a key technology for computational resource scheduling, but more and …

Abstract Vehicular Edge Computing (VEC) is a promising technique to accommodate the
computation-intensive and delay-sensitive tasks through offloading the tasks to the …

With the rapid development of Intelligent Transportation Systems (ITS), many new
applications for Intelligent Connected Vehicles (ICVs) have sprung up. In order to tackle the …

Computation-intensive and latency-sensitive vehi-cle tasks continue to emerge with the
repaid development of the Internet of Vehicles (IoV). Traditional cloud servers and single …

With the emergence of new vehicular applications, computation offloading based on mobile
edge computing (MEC) has become a promising paradigm in resource‐constrained …

As an important application scenario of Internet of Things in 5G, the vehicular network will
produce a large number of computing tasks and data, which will bring huge pressures to the …