Cloud-based vehicular networks are a promising paradigm to improve vehicular services
through distributing computation tasks between remote clouds and local vehicular terminals …

Mobile edge computing (MEC) has been an effective paradigm for supporting computation-
intensive applications by offloading resources at network edge. Especially in vehicular …

The vehicular networks with mobile edge computing (MEC) provide a promising paradigm to
meet the explosive vehicular computing demands. To further reduce the total latency and …

Cloud-based vehicular networks is a new paradigm to improve the vehicular services
through distributing computation tasks between remote clouds and local vehicular terminals …

The promise of low latency connectivity and efficient bandwidth utilization has driven the
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …

As an enabling technology for the Internet of Vehicles (IoV), mobile edge computing (MEC)
provides potential solutions for sharing the computation capabilities among vehicles, in …

Vehicular edge computing (VEC) has been a new paradigm to support computation-
intensive and latency-sensitive services. However, the scarcity of computational resources is …

Intelligent connected vehicles (ICVs) equipped with onboard sensors, communication, and
computation units, are expected to be the promising paradigm of future vehicles. With the …

Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …

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