A high-throughput DAG-based blockchain protocol

YuanQi Zhang; Lei Guo; Ke Wei

doi:10.1117/12.3005016

20 October 2023 A high-throughput DAG-based blockchain protocol

YuanQi Zhang, Lei Guo, Ke Wei

Proceedings Volume 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023); 1291626 (2023) https://doi.org/10.1117/12.3005016
Event: Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 2023, Kunming, China

Abstract

In recent years, blockchain has developed rapidly and achieved great success in a variety of industries. However, the current shortcomings of blockchain in terms of low throughput and slow transaction confirmation have led to the difficulty of implementing and using blockchain in some highly concurrent scenarios. In this regard, blockchain technology based on DAG was born. DAG is characterized by high concurrency and high throughput due to its unique data structure, and its combination with blockchain can break the blockchain throughput bottleneck. In this regard, a DAG-based blockchain consensus algorithm is proposed to fully order all blocks, provide the total order and effectively improve the throughput of the blockchain using the division of subgraphs. The new proposed consensus algorithm is experimentally demonstrated to have significant improvement in data throughput, and it is found that SgDAG has 79 times higher throughput than Bitcoin, 36.9 times higher than Ethereum, and 5.5 times higher than IOTA, with high throughput and can use smart contracts

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

YuanQi Zhang, Lei Guo, and Ke Wei "A high-throughput DAG-based blockchain protocol", Proc. SPIE 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 1291626 (20 October 2023); https://doi.org/10.1117/12.3005016

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available