Vehicular edge computing (VEC) has been reported as a new computation paradigm to
meet the low-latency requirement in vehicular networks. In this article, we study a novel …

Amidst the robust impetus from artificial intelligence (AI) and big data, edge intelligence (EI)
has emerged as a nascent computing paradigm, synthesizing AI with edge computing (EC) …

The rapid development of the Internet of Vehicles (IoV) along with the emergence of
intelligent applications have put forward higher requirements for massive task offloading …

In the foreseeable Intelligent Transportation System, Intelligent Connected Vehicles (ICVs)
will play an important role in improving travel efficiency and safety. However, it is …

Mobile edge computing introduces a novel computing paradigm for mobile devices,
reducing execution latency and energy consumption by offloading tasks to edge servers or …

Vehicular edge computing (VEC) enables task offloading from vehicle to edge servers
deployed on Road Side Units (RSUs) and to vehicle with idle resources, which is …

Edge–edge collaboration is the main collaboration mode for edge computing (EC) in time-
sensitive networking (TSN). This distributed collaboration mode, in which the computing …

Vehicle edge computing (VEC) acts as an enhancement to provide low latency and low
energy consumption for internet of vehicles (IoV) applications. Mobility of vehicles and load …

The Internet of Things (IoT) is gradually changing the way teaching and learning take place
in on-campus programs. In particular, face capture services improve student concentration to …

Mobile edge computing emerges to serve mobile users with low-latency computation
offloading in edge networks, which are resource-constrained with massive users and …