Driven by the demand of time-sensitive and data-intensive applications, edge computing
has attracted wide attention as one of the cornerstones of modern service architectures. An …

In vehicular fog computing, task offloading enables mobile vehicles (MVs) to offer ultralow
latency services for computation-intensive tasks. Nevertheless, the edge server (ES) may …

This article considers an internet of vehicles (IoV) network, where multi-access edge
computing (MAEC) servers are deployed at base stations (BSs) aided by multiple …

Enhancing energy efficiency, content distribution, latency, and transmission speeds are vital
components of communication systems. Multiple access methods hold great promise for …

To guarantee the effective utilization of time when users are stuck in network traffic
congestion, it is necessary to train a reinforcement learning agent that tells those routes to …

In multiaccess edge computing (MEC) systems, existing task offloading methods have
provided ultrashort latency services for heterogeneous tasks on mobile devices (MDs) …

Vehicular edge computing (VEC) is an emerging enabler in strengthening driving efficiency
and traffic safety. However, both performance bottlenecks and low-resource efficiency of …

The wheels of railway vehicles are of paramount importance in relation to railroad
operations and safety. Currently, the management of railway vehicle wheels is restricted to …

This paper considers an internet of vehicles (IoV) network consisting of vehicle-to-vehicle
(V2V) and vehicle-to-infrastructure (V2I) architecture aided by multi-access edge computing …

Vehicular Edge Computing (VEC) is a promising paradigm that provides cloud computing
services closer to vehicular users. In VEC, vehicles and communication infrastructures can …