Ai-enabled trust in distributed networks

Z Li, W Fang, C Zhu, Z Gao, W Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
Cybersecurity, as a crucial aspect of the information society, requires significant attention.
Fortunately, the concept of trust, originating from the field of sociology, has been under …

Socially-aware traffic scheduling for edge-assisted metaverse by deep reinforcement learning

A Yu, H Yang, C Feng, Y Li, Y Zhao, M Cheriet… - IEEE …, 2023 - ieeexplore.ieee.org
The metaverse presents a new Internet paradigm where individuals can engage in activities
like play, work, and social interactions in an immersive virtual world. Empowered by edge …

Energy-Efficient Content Fetching Strategies in Cache-Enabled D2D Networks via an Actor-Critic Reinforcement Learning Structure

M Yan, M Luo, CA Chan, AF Gygax… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As one of the important complementary technologies of the fifth-generation (5G) wireless
communication and beyond, mobile device-to-device (D2D) edge caching and computing …

Multi-Agent Collaborative Caching Strategies in Dynamic Heterogeneous D2D Networks

X Fan, H Chen, Z Ni, G Li, H Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Device-to-Device (D2D) communication and edge caching are two promising approaches to
relieve stress on core networks, and the dynamic topology and complex device types of D2D …

Revolutionizing Emergency Response: The Transformative Power of Smart Wearables Through Blockchain, Federated Learning, and Beyond 5G/6G Services

P Ganesan, SK Jagatheesaperumal - IT Professional, 2023 - ieeexplore.ieee.org
The importance of reliable and secure wireless communication cannot be overstated,
especially in emergency situations that require the use of smart wearables. To ensure the …

CLSA: contrastive learning-based survival analysis for popularity prediction in MEC networks

Z Hajiakhondi-Meybodi, A Mohammadi… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Mobile-edge caching (MEC) integrated with deep neural networks (DNNs) is an innovative
technology with significant potential for the future generation of wireless networks, resulting …

Learning Analytics in Education: A Social Network-Based Approach for Analyzing the Interaction and Influence of Collaborative Learning Communities

C Ren, Z Qi - International Journal of Emerging Technologies in …, 2023 - learntechlib.org
Collaborative learning is viewed as an increasingly important learning mode in higher
vocational education these days. In this mode, students are no longer passive receivers of …

Recommendation Based Video Caching and Transcoding in Mobile Edge Networks

W Liu, H Zhang, H Ding, Z Yu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Although edge caching assisted adaptive bitrate (ABR) video streaming has significantly
reduced amount of video data to be transmitted via backhaul link, its performance is severely …

Mellin transform-based D2D power optimization in 5G-enabled social IoT network

S Chandra, R Arya, MP Singh - The Journal of Supercomputing, 2024 - Springer
One of the main sources of information dissemination is social networks. Changes in social
and Internet of Things (IoT) relationships can affect the quality of service (QoS) of device-to …

On Power-Efficient Low-Complexity Adaptation for D2D Resource Allocation with Interference Cancelation

RM Radaydeh - Sensors, 2023 - mdpi.com
This paper presents a detailed framework for adaptive low-complexity and power-efficient
resource allocation in decentralized device-to-device (D2D) networks. The adopted system …