Vehicular fog computing (VFC) has been proposed as a promising solution to overcome the
limitations of edge computing. In VFC, the idle resources of moving and parked vehicles can …

Fog computing is an evolving paradigm that addresses the latency-oriented performance
and spatio-temporal issues of the cloud services by providing an extension to the cloud …

Vehicles in platoons need to process many tasks to support various real-time vehicular
applications. When a task arrives at a vehicle, the vehicle may not process the task due to its …

In this paper, we investigate a distributed machine learning approach for a multiuser mobile
edge computing (MEC) network in a cognitive eavesdropping environment, where multiple …

Abstract Mobile Edge Computing (MEC) has evolved into a key technology that can
leverage resources of computing, storage and network deployed at the proximity of the …

Smart applications and intelligent systems are being developed that are self‐reliant,
adaptive, and knowledge‐based in nature. Emergency and disaster management …

Computational offloading, as an effective way to extend the capability of resource-limited
edge devices in Internet of Things (IoT), is considered as a promising emerging paradigm for …

As one of the most promising applications in future Internet of Things, Internet of Vehicles
(IoV) has been acknowledged as a fundamental technology for developing the Intelligent …

With the advent of smart vehicles, several new latency-critical and data-intensive
applications are emerged in Vehicular Networks (VNs). Computation offloading has …

As a novel computing paradigm, multiaccess edge computing (MEC) migrates computing
and storage capabilities to edge nodes of the network to meet the requirements of executing …