Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Optimized Fusion Chain with Web3 Storage

Topics: Architectural Concepts; Data Analytics; Data Integrity; Data Mining; Data Privacy and Security; Data Science; Database Architecture and Performance; Edge Computing; Information and Scientific Visualization; Information Integration; Information Retrieval; In-Network Data Processing; Modeling and Managing Large Data Systems; Open Source Databases

Authors: Tahiya Lisa and Chaiyachet Saivichit

Affiliation: Wireless Network and Future Internet Research Unit, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Keyword(s): Fusion Chain, IoT, Web3 Storage, Practical Byzantine Fault Tolerance Consensus Algorithm, Raft Consensus Algorithm.

Abstract: The Internet of Things (IoT) has become increasingly popular over the past two decades. It has a significant impact on many aspects of daily life, including smart cities, intelligent transportation, manufacturing, and several other industries. Processing and networking abilities of the Internet of Things are condemned/ censorious in today’s highly technological environment. These systems are also reasonably priced when used on embedded platforms and consume little power (Ismail and Materwala, 2019). Nearly all IoT devices have bounded storage and random access memory with 8-bit or 16-bit microcontrollers (Bosamia and Patel, 2020). Emerging technologies, such as blockchains, can be altered to accommodate IoT networks’ and devices’ limitations and requirements. Nowadays, blockchain has become the most secure medium of data transmission. The main goal of this paper consists of the usage of web3 storage in the fusion chain platform along with the fusion chain’s lightweight block structur e that can be used by IoT devices resulting in minimal CPU power consumption. Moreover, the development of two consensus algorithms for the performance evaluation of the fusion chain blockchain to balance the computational power with the Internet of Things is proposed. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.19.217.248

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Lisa, T. and Saivichit, C. (2023). Optimized Fusion Chain with Web3 Storage. In Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-664-4; ISSN 2184-285X, SciTePress, pages 613-620. DOI: 10.5220/0012147800003541

@conference{data23,
author={Tahiya Lisa and Chaiyachet Saivichit},
title={Optimized Fusion Chain with Web3 Storage},
booktitle={Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA},
year={2023},
pages={613-620},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012147800003541},
isbn={978-989-758-664-4},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA
TI - Optimized Fusion Chain with Web3 Storage
SN - 978-989-758-664-4
IS - 2184-285X
AU - Lisa, T.
AU - Saivichit, C.
PY - 2023
SP - 613
EP - 620
DO - 10.5220/0012147800003541
PB - SciTePress