A unified blockchain-semantic framework for wireless edge intelligence enabled web 3.0

Y Lin, Z Gao, H Du, D Niyato, J Kang… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Web 3.0 enables user-generated contents and user-selected authorities. With the help of
decentralized wireless edge computing architectures, Web 3.0 allows users to read, write …

The TAO of blockchain intelligence for intelligent web 3.0

J Li, FY Wang - IEEE/CAA Journal of Automatica Sinica, 2023 - ieeexplore.ieee.org
We are in an exciting new intelligent era where various Web 3.0 systems emerge and
flourish.[1]–[3]. In this new epoch, the collaboration of data and knowledge, humans and …

Blockchain-enabled deep reinforcement learning approach for performance optimization on the internet of things

T Alam - Wireless Personal Communications, 2022 - Springer
Abstract Internet of Things (IoT) networks are rapidly expanding, which requires adequate
and reliable infrastructure and a large amount of data. The IoT device security and technical …

Mobility management for blockchain-based ultra-dense edge computing: A deep reinforcement learning approach

H Zhang, R Wang, W Sun… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Ultra-dense edge computing is expected to provide delay-sensitive and computational-
intensive services for mobile devices. Due to the complexity and unpredictability of the …

Trustworthy blockchain-empowered collaborative edge computing-as-a-service scheduling and data sharing in the IIoE

F Bai, T Shen, Z Yu, K Zeng… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Owing to the technology of 5G and beyond, collaborative edge computing-as-a-service has
enabled trillions of interconnected edge applications. It has also become a prospective …

Cooperative task offloading and block mining in blockchain-based edge computing with multi-agent deep reinforcement learning

DC Nguyen, M Ding, PN Pathirana… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The convergence of mobile edge computing (MEC) and blockchain is transforming the
current computing services in mobile networks, by offering task offloading solutions with …

A many-objective optimized sharding scheme for blockchain performance improvement in end-edge enabled internet of things

Z Cui, Z Xue, Y Ma, X Cai, J Chen - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
This article establishes an edge computing architecture based on blockchain sharding to
apply blockchain technology at the edge layer. The tasks offloaded to the edge layer are …

Deep reinforcement learning approach for computation offloading in blockchain-enabled communications systems

T Alam, A Ullah, M Benaida - Journal of Ambient Intelligence and …, 2023 - Springer
Blockchain and deep reinforcement learning (DRL) are two separate transaction systems
committed to the credibility and usefulness of system functionality. There is rapid growth …

Promoting the sustainability of blockchain in web 3.0 and the metaverse through diversified incentive mechanism design

DM Doe, J Li, N Dusit, Z Gao, J Li… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
This article explores the role of blockchains in the development of Web 3.0 and the
Metaverse. The success of these technologies is dependent on the utilization of …

Cloud–edge collaborative resource allocation for blockchain-enabled Internet of Things: A collective reinforcement learning approach

M Li, P Pei, FR Yu, P Si, Y Li, E Sun… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Driven by numerous emerging mobile devices and various Quality-of-Service (QoS)
requirements, mobile-edge computing (MEC) has been recognized as a prospective …