Abstract The Internet of Things (IoT) consists of heterogeneous devices such as wearables
and monitoring devices that collect data to provide autonomous decision-making and smart …

Deep learning has been proven to be a powerful tool for addressing the most significant
issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource …

Abstract Federated Learning for the Internet of Things (FL for IoT) contributes to the
enhancement of security in smart cities. However, the privacy disclosure attacks within the …

Utilizing Unmanned Aerial Vehicles (UAVs) as flying edge nodes to support task offloading
from terminal devices has recently attracted significant research attention. However, the …

Dataspace and emerging technologies play a key role in developing value chain systems
using cross-domain data, services and systems integration. Therefore, this study has …

6G networks are envisioned to deliver a large diversity of applications and meet stringent
Quality of Service (QoS) requirements. Hence, integrated Terrestrial and Non-Terrestrial …

Container-based cloud brokers sit between multiple cloud providers and users, renting
virtual machines (VMs) from multiple cloud providers, provisioning services to users, and …

With the growth of real-time and latency-sensitive applications in the Internet of Everything
(IoE), service placement cannot rely on cloud computing alone. In response to this need …

Rapid growth is also being seen in the deployment of optical network equipment and the
development of new network services for next-generation networks beyond 5G and 6G …

Ubiquitous mobile edge computing (MEC) using the internet of things (IoT) is a promising
technology for providing low-latency and high-throughput services to end-users. Resource …