With the rise of intelligent transportation systems and the increasing diversity of vehicular
applications, such as safety-related features, parking navigation, and multimedia …

Vehicular edge computing (VEC), which extends the computing, storage, and networking
resources from the cloud center to the logical network edge through the deployment of edge …

The increasing number of smart vehicles and their resource hungry applications pose new
challenges in terms of computation and processing for providing reliable and efficient …

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 …

Computation offloading services provide required computing resources for vehicles with
computation-intensive tasks. Past computation offloading research mainly focused on …

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 …

With the advancement of information technology, Mobile Edge Computing (MEC) has been
integrated into Vehicular Ad Hoc Networks (VANETs) to efficiently address the resource …

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 …

Abstract In the Internet of Vehicles edge computing scenario, task processing time
consumption can be reduced by offloading tasks to an edge server. To solve the problem of …

The introduction of mobile edge computing (MEC) in vehicular network has been a
promising paradigm to improve vehicular services by offloading computation‐intensive tasks …