Adaptive Storage Optimization Scheme for Blockchain-IIoT Applications Using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Adaptive Storage Optimization Scheme for Blockchain-IIoT Applications Using Deep Reinforcement Learning

Published:2023 Issue: Volume:11 Page:1372-1385
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Akrasi-Mensah Nana Kwadwo¹^ORCID,Agbemenu Andrew Selasi¹^ORCID,Nunoo-Mensah Henry¹^ORCID,Tchao Eric Tutu¹^ORCID,Ahmed Abdul-Rahman¹^ORCID,Keelson Eliel¹,Sikora Axel²^ORCID,Welte Dominik²,Kponyo Jerry John³

Affiliation:

1. Distributed IoT Platforms, Privacy and Edge-Intelligence Research (DIPPER) Laboratory, Faculty of Electrical and Computer Engineering, Kwame Nkrumah University of Science and Technology, PMB, Kumasi, Ghana

2. Institute of Reliable Embedded Systems and Communication Electronics (ivESK), Offenburg University of Applied Sciences, Offenburg, Germany

3. Responsible Artificial Intelligence Laboratory (RAIL), Faculty of Electrical and Computer Engineering, Kwame Nkrumah University of Science and Technology, PMB, Kumasi, Ghana

Funder

Deutscher Akademischer Austauschdienst

Bundesministerium f?r Bildung und Forschung

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10004557.pdf?arnumber=10004557

Reference44 articles.

1. On Cloud Storage Optimization of Blockchain With a Clustering-Based Genetic Algorithm

2. Reinforcement learning approaches for efficient and secure blockchain-powered smart health systems