This article presents a multi-intelligent reflecting surface (IRS)-and multi-unmanned aerial
vehicle (UAV)-assisted mobile edge computing (MEC) system for 5G/6G networks. In the …

The rapid evolution of communication systems towards the next generation has led to an
increased deployment of Internet of Things (IoT) devices for various real-time applications …

With the development of the Internet of Vehicles (IoV), multiaccess edge computing (MEC)
technology places computing resources closer to users at edge nodes, enabling faster, more …

The aim of this article is to save the energy consumption and tasks' completion time of multi-
unmanned aerial vehicle (UAV) by jointly optimizing the trajectories of UAVs and passive …

Mobile crowd-sensing (MCS) is a well-known paradigm used for obtaining sensed data by
using sensors found in smart devices. With the rise of more sensing tasks and workers in the …

Abstract In the industrial Internet, Mobile Edge Computing (MEC) can provide the ability to
transfer a large number of delay-sensitive and compute-intensive tasks to MEC servers, thus …

Unmanned aerial vehicles (UAVs) have gained increasing attention in boosting the
performance of conventional networks due to their small size, high efficiency, low cost, and …

Cluster formation and task processing are standard features for leveraging the performance
of unmanned aerial vehicles (UAVs). As the UAV network is aided by sensors, functions …

In this paper, the novel study of an Internet of Things (IoT) network model with multimodal
node distribution and a data-collecting mechanism using mobile clustering nodes is …

The utilization of unmanned aerial vehicles (UAVs) as aerial mobile edge computing (MEC)
servers presents an effective approach for mitigating the computational limitations of …