A full dive into realizing the edge-enabled metaverse: Visions, enabling technologies, and challenges

M Xu, WC Ng, WYB Lim, J Kang, Z Xiong… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Dubbed “the successor to the mobile Internet,” the concept of the Metaverse has grown in
popularity. While there exist lite versions of the Metaverse today, they are still far from …

[HTML][HTML] Models used to characterise blockchain features. A systematic literature review and bibliometric analysis

JJ Rico-Pena, R Arguedas-Sanz, C Lopez-Martin - Technovation, 2023 - Elsevier
Blockchain has emerged as an innovative technology with potential to transform business
management, through operational efficiency improvements. Nevertheless, several …

A Study on Blockchain Sandwich Attack Strategies Based on Mechanism Design Game Theory

Y Liang, X Wang, YC Wu, H Fu, M Zhou - Electronics, 2023 - mdpi.com
The rapid progression of Decentralized Finance (DeFi) has established Decentralized
Exchanges (DEX) as critical elements in the financial landscape. Nevertheless, the open …

[HTML][HTML] Adaptive Sharding for UAV Networks: A Deep Reinforcement Learning Approach to Blockchain Optimization

K Lu, X Zhang, T Zhai, M Zhou - Sensors, 2024 - mdpi.com
As unmanned aerial vehicle (UAV) technology expands into diverse applications, the
demand for enhanced performance intensifies. Blockchain sharding technology offers …

Adaptive incentive for cross-silo federated learning in IIoT: a multiagent reinforcement learning approach

S Yuan, B Dong, H Lv, H Liu, H Chen… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In the Industrial Internet of Things (IIoT), cross-silo federated learning (CSFL) enables
entities, such as manufacturers and suppliers to train global models for optimizing …

Adaptive Incentive and Resource Allocation for Blockchain-Supported Edge Video Streaming Systems: A Cooperative Learning Approach

S Yuan, Q Zhou, J Li, S Guo, H Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Edge computing significantly enhanced the growth of edge-assistant video streaming
applications. However, challenges such as unpredictable wireless conditions, resource …

Adaptive Processing for Video Streaming with Energy Constraint: A Multi-Agent Reinforcement Learning Method

H Liu, H Fu, S Yuan, C Wu, Y Luo… - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
Edge computing is a highly promising technology that empowers mobile devices to offload
video streaming tasks to edge servers, thereby improving the video stream analysis …

Performance evaluation, optimization and dynamic decision in blockchain systems: a recent overview

QL Li, YX Chang, Q Wang - arXiv preprint arXiv:2211.15907, 2022 - arxiv.org
With rapid development of blockchain technology as well as integration of various
application areas, performance evaluation, performance optimization, and dynamic decision …

SPRING: Improving the Throughput of Sharding Blockchain via Deep Reinforcement Learning Based State Placement

P Li, M Song, M Xing, Z Xiao, Q Ding, S Guan… - Proceedings of the ACM …, 2024 - dl.acm.org
Sharding provides an opportunity to overcome the inherent scalability challenges of the
blockchain, which is the infrastructure for the next generation of the Web. In a sharding …

SmartChain: A Dynamic and Self-Adaptive Sharding Framework for IoT Blockchain

T Cai, W Chen, J Zhang, Z Zheng - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Sharding technologies allow the Internet of Things (IoT) to deploy blockchains in large-scale
applications with good scalability. However, conventional sharding strategies in IoT …