As the rapid growth of connected and autonomous vehicles (CAVs) and 5G intensifies, more
third-party applications are increasingly being deployed on CAVs. They not only improve …

In vehicular edge computing (VEC), offloading the tasks to the nearby resource-rich edge
servers helps each vehicle enhance computational capabilities and improve in-vehicle …

As most vehicles spend over 95% of their time in the parking lots, the powerful computing
resources of parked vehicles (PVs) are underutilized, that can be considered as available …

With the emergence of autonomous vehicles, meeting the vehicle's computing needs for
computationally intensive and latency-sensitive tasks has become a challenge. Cellular …

This paper investigates the feasibility of offloading resource-intensive computational tasks
from a vehicle to a group of neighboring vehicles over vehicle-to-vehicle (V2V) networks to …

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

With the explosive increasing of various vehicle applications, vehicular edge computing
(VEC) networks have emerged as a promising technology to extend the capability of the …

In this paper, we envision the future connected and autonomous vehicles (CAVs) as a
sophisticated computer on wheels, with substantial on-board sensors as data sources and a …

Vehicular Edge Computing (VEC) aims to extend cloud service provision to the network
edge vehicles, thus reducing back-haul network traffic and service latency. The emergence …

The mobility of the vehicle poses new challenges to the unloading decision. In view of this
situation, this paper proposes a unloading scheme of vehicle edge computing (VEC) based …