Deep reinforcement learning for blockchain in industrial IoT: A survey

Y Wu, Z Wang, Y Ma, VCM Leung - Computer Networks, 2021 - Elsevier
With the ambitious plans of renewal and expansion of industrialization in many countries,
the efficiency, agility and cost savings potentially resulting from the application of industrial …

To chain or not to chain: A reinforcement learning approach for blockchain-enabled IoT monitoring applications

N Mhaisen, N Fetais, A Erbad, A Mohamed… - Future Generation …, 2020 - Elsevier
Traceability and autonomous business logic execution are highly desirable features in IoT
monitoring applications. Traceability enables verifying signals' history for security or …

Blockchain management and machine learning adaptation for IoT environment in 5G and beyond networks: A systematic review

A Miglani, N Kumar - Computer Communications, 2021 - Elsevier
Keeping in view of the constraints and challenges with respect to big data analytics along
with security and privacy preservation for 5G and B5G applications, the integration of …

Performance optimization for blockchain-enabled industrial Internet of Things (IIoT) systems: A deep reinforcement learning approach

M Liu, FR Yu, Y Teng, VCM Leung… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Recent advances in the industrial Internet of things (IIoT) provide plenty of opportunities for
various industries. To address the security and efficiency issues of the massive IIoT data …

Blockchains for artificial intelligence of things: A comprehensive survey

M Shen, A Gu, J Kang, X Tang, X Lin… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the rapid advances in information and communication technologies, the Internet of
Things (IoT) has become large and complex, bearing tremendous amounts of data and …

A comprehensive survey on blockchain in industrial internet of things: Motivations, research progresses, and future challenges

R Huo, S Zeng, Z Wang, J Shang… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
With rapid development of enabling technologies such as Internet of Things, robotics, and
big data, the fourth industrial revolution known as “Industry 4.0”(I4. 0) has become a great …

Blockchain-based edge computing resource allocation in IoT: A deep reinforcement learning approach

Y He, Y Wang, C Qiu, Q Lin, J Li… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
With the exponential growth in the number of Internet-of-Things (IoT) devices, the cloud-
centric computing paradigm can hardly meet the increasingly high requirements for low …

[HTML][HTML] Reinforcement learning in blockchain-enabled IIoT networks: A survey of recent advances and open challenges

F Jameel, U Javaid, WU Khan, MN Aman, H Pervaiz… - Sustainability, 2020 - mdpi.com
Blockchain is emerging as a promising candidate for the uberization of Internet services. It is
a decentralized, secure, and auditable solution for exchanging, and authenticating …

Sustainable smart industry: a secure and energy efficient consensus mechanism for artificial intelligence enabled industrial internet of things

A Sasikumar, L Ravi, K Kotecha… - Computational …, 2022 - Wiley Online Library
In recent years, the Internet of Things (IoT) has been industrializing in various real‐world
applications, including smart industry and smart grids, to make human existence more …

Blockchain in industrial IoT applications: Security and privacy advances, challenges and opportunities

KKR Choo, Z Yan, W Meng - IEEE Transactions on Industrial Informatics, 2020 - orbit.dtu.dk
Is Blockchain a hype or a trend that is here to stay? Based on the increasing interest of
blockchain in industry, governments and academia, one might tend to be inclined to think …