Vehicular edge computing (VEC) is a promising paradigm to offload resource-intensive
tasks at the network edge. Owing to time-sensitive and computation-intensive vehicular …

Vehicular Edge Computing (VEC) enables task offloading from vehicles to the edge servers
deployed on Road Side Units (RSUs), thus enhancing the task processing performance of …

With the development of microprocessor technology, massive IoT devices are deployed in
smart cities which promotes numerous supervisory control and data acquisition (SCADA) …

Vehicular edge computing has emerged as a promising technology to accommodate the
tremendous demand for data storage and computational resources in vehicular networks. By …

In mobile environments, with the help of larger bandwidths and cloud computing solutions,
any task can be offloaded from a mobile user equipment to be handled remotely. However …

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 …

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

In vehicular edge computing, the edge servers may be overloaded once too many vehicles
request the task offloading service, which will cause task offloading failure or the high …

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

Vehicular edge computing has been a promising paradigm to offer low-latency and high
reliability vehicular services for users. Nevertheless, for compute-intensive vehicle …