Optimized Fusion Chain with Web3 Storage

Tahiya Lisa, Chaiyachet Saivichit

2023

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 structure 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.

Paper Citation

in Harvard Style

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 - Volume 1: DATA; ISBN 978-989-758-664-4, SciTePress, pages 613-620. DOI: 10.5220/0012147800003541

in Bibtex Style

@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 - Volume 1: DATA},
year={2023},
pages={613-620},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012147800003541},
isbn={978-989-758-664-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Optimized Fusion Chain with Web3 Storage
SN - 978-989-758-664-4
AU - Lisa T.
AU - Saivichit C.
PY - 2023
SP - 613
EP - 620
DO - 10.5220/0012147800003541
PB - SciTePress