The development of the Internet of vehicles (IoV) has spawned a series of driving assistance
services (eg, collision warning), which improves the safety and intelligence of transportation …

As a mode of processing task request, edge computing paradigm can reduce task delay and
effectively alleviate network congestion caused by the proliferation of Internet of things (IoT) …

In this paper, end devices are considered here as agent, which makes its decisions on
whether the network will offload the computation tasks to the edge devices or not. To tackle …

With the emergence and development of 5G technology, Mobile Edge Computing (MEC)
has been closely integrated with Internet of Vehicles (IoV) technology, which can effectively …

With the rapid increase of vehicles, the explosive growth of data flow and the increasing
shortage of spectrum resources, the performance of existing task offloading scheme is poor …

To investigate the diversified technologies in Internet of Vehicles (IoV) under intelligent edge
computing, artificial intelligence, intelligent edge computing, and IoV are combined. Also, it …

Mobile Edge Computing (MEC) is a promising technology to extend the diverse services to
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …

City Internet-of-Things (IoT) applications are becoming increasingly complicated and thus
require large amounts of computational resources and strict latency requirements. Mobile …

By deploying computing units in edge servers, the device‐generated computation‐intensive
tasks can be offloaded from the cloud, lessening the core network's traffic and reducing the …

With the fast development of Internet of Vehicles (IoV), various types of computation-
intensive vehicular applications pose significant challenges to resource-constrained …