[HTML][HTML] Emerging technologies for 6G communication networks: Machine learning approaches
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …
generation, as evidenced by the sixth generation (6G) key performance indicators, which …
Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation
The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a data-
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …
[HTML][HTML] Multi-objective hybrid split-ring resonator and electromagnetic bandgap structure-based fractal antennas using hybrid metaheuristic framework for wireless …
Abstract Design closure and parameter optimisation are crucial in creating cutting-edge
antennas. Antenna performance can be improved by fine-tuning preliminary designs created …
antennas. Antenna performance can be improved by fine-tuning preliminary designs created …
Cybersecurity of Satellite Communications Systems: A Comprehensive Survey of the Space, Ground, and Links Segments
Satellite communications (Satcoms) systems have become an integral part of modern
society, providing critical infrastructure for a wide range of applications. However, as the …
society, providing critical infrastructure for a wide range of applications. However, as the …
[HTML][HTML] Dynamic offloading in flying fog computing: optimizing IoT network performance with mobile drones
W Min, A Khakimov, AA Ateya, M ElAffendi… - Drones, 2023 - mdpi.com
The rapid growth of Internet of Things (IoT) devices and the increasing need for low-latency
and high-throughput applications have led to the introduction of distributed edge computing …
and high-throughput applications have led to the introduction of distributed edge computing …
Meet User's Service Requirements in Smart Cities Using Recurrent Neural Networks and Optimization Algorithm
Despite significant advancements in Internet of Things (IoT)-based smart cities, service
discovery, and composition continue to pose challenges. Current methodologies face …
discovery, and composition continue to pose challenges. Current methodologies face …
[HTML][HTML] State-of-the-art and New challenges in 5G networks with Blockchain Technology
S Onopa, Z Kotulski - Electronics, 2024 - mdpi.com
As mobile communications transform, 5G technology can potentially change many industries
and businesses. The change will have a great influence across many fields, such as the …
and businesses. The change will have a great influence across many fields, such as the …
[HTML][HTML] Examining spatiotemporal crowdsensing and caching for population-dynamic OTT content delivery
HS Kim, Y Jang, YJ Choi, HK Kim, S Kim, SH Lee - Scientific Reports, 2024 - nature.com
This study proposes a novel spatiotemporal crowdsensing and caching (SCAC) framework
to address the surging demands of urban wireless network traffic. In the context of rampant …
to address the surging demands of urban wireless network traffic. In the context of rampant …
FL_GIoT: Federated Learning Enabled Edge-Based Green Internet of Things System: A Comprehensive Survey
In today's world, the importance of the Green Internet of Things (GIoT) in the transformed
sustainable smart cities cannot be overstated. For a variety of applications, the GIoT may …
sustainable smart cities cannot be overstated. For a variety of applications, the GIoT may …
[HTML][HTML] Energy-Aware MPTCP Scheduling in Heterogeneous Wireless Networks Using Multi-Agent Deep Reinforcement Learning Techniques
This paper proposes an energy-efficient scheduling scheme for multi-path TCP (MPTCP) in
heterogeneous wireless networks, aiming to minimize energy consumption while ensuring …
heterogeneous wireless networks, aiming to minimize energy consumption while ensuring …