Efficient task offloading decision is a crucial technology in vehicular edge computing, which
aims to fulfill the computational performance demands of complex vehicular tasks with …

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

Vehicular edge computing (VEC) is emerging as a novel computing paradigm to meet low
latency demands for computation-intensive vehicular applications. However, most existing …

Vehicular edge computing has emerged as a promising paradigm by offloading computation-
intensive latency-sensitive tasks to mobile-edge computing (MEC) servers. However, it is …

Vehicular edge computing (VEC) is emerging as a new computing paradigm to improve the
quality of vehicular services and enhance the capabilities of vehicles. It enables performing …

Vehicular edge computing (VEC) is one of the prominent ideas to enhance the computation
and storage capabilities of vehicular networks (VNs) through task offloading. In VEC, the …

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) …

Vehicular edge computing (VEC) provides an effective task offloading paradigm by pushing
cloud resources to the vehicular network edges, eg, road side units (RSUs). However …

In vehicular edge computing (VEC), resource-intensive tasks are offloaded to computing
nodes at the network edge. Owing to high mobility and distributed nature, optimal task …

In vehicular edge computing (VEC), the deployment of road side units (RSUs) along roads
enables vehicles to offload computation-intensive tasks for efficient data processing …