Abstract Vehicular Edge Computing (VEC) supports latency-sensitive and computation-
intensive vehicular applications by providing caching and computing services in vehicle …

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

Edge computing has great potential to address the challenges in mobile vehicular networks
by transferring partial storage and computing functions to network edges. However, it is still …

Vehicular edge computing (VEC) is a promising technology to support real-time vehicular
applications, where vehicles offload intensive computation tasks to the nearby VEC server …

To better support the emerging vehicular applications and multimedia services, vehicular
edge computing (VEC) provides computing and caching services in proximity to vehicles, by …

The Internet of Vehicles connects all vehicles and shares dynamic vehicular data via
wireless communications to effectively control vehicles and improve traffic efficiency …

The emergence of augmented reality (AR), autonomous driving and other new applications
have greatly enriched the functionality of the vehicular networks. However, these …

Many advancements are being made in vehicular networks, such as self-driving, dynamic
route scheduling, real-time traffic condition monitoring, and on-board infotainment services …

Mobile edge computing (MEC) has emerged as a promising paradigm to realize user
requirements with low-latency applications. The deep integration of multi-access …

Vehicle Edge Computing (VEC) is a promising paradigm that exposes Mobile Edge
Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload …