The Fifth Generation (5G) of mobile networks offers new and advanced services with stricter
requirements. Multi-access Edge Computing (MEC) is a key technology that enables these …

In recent years, there has been a trend to integrate networking and computing systems,
whose management is getting increasingly complex. Resource allocation is one of the …

A typical element of the smart city's information and communication space is a 5G cluster,
which is focused on serving both new and handover requests because it is an open system …

Resource management challenges frequently manifest in systems and networks as tough
online decision tasks, for which the proper solution is dependent on an understanding of the …

Edge caching reduces service latency, relieves backhaul link traffic pressure, and enhances
the quality of experience by multiplexing network content. Many studies use deep …

Abstract Multi-access Edge Computing (MEC) is an emerging technology that allows to
reduce the service latency and traffic congestion and to enable cloud offloading and context …

In this paper, we introduce the Enhanced Whale Optimization Algorithm (EWA) to optimize
dependent task offloading in a multi-edge cloud computing environment. Our proposed …

Devices in close proximity can directly communicate with each other through device‐to‐
device (D2D) communication, bypassing the need for base stations. To minimize the delay …

Computation offloading, resource allocation, and endurance issues in unmanned aerial
vehicle (UAV)-aided mobile edge computing (MEC) networks have always been a research …

The last years have been characterized by strong market exploitation of the Internet of
Things (IoT) technologies in different application domains, such as Industry 4.0, smart cities …