Hybrid Consensus Algorithm Optimization: A Mathematical Method Based on POS and PBFT and Its Application in Blockchain
Joint Authors
Wu, Yaqin
Song, Pengxin
Wang, Fuxin
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-13
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Blockchain is a new technology for processing complex and disordered information with respect to business and other industrial applications.
This work is aimed at studying the consensus algorithm of blockchain to improve the performance of blockchain.
Despite their advantages, the proof of stake (POS) algorithm and the practical Byzantine fault tolerance (PBFT) algorithm have high latency, low throughput, and poor scalability.
In this paper, a blockchain hybrid consensus algorithm which combines advantages of the POS and PBFT algorithms is proposed, and the algorithm is divided into two stages: sortition and witness.
The proposed algorithm reduces the number of consensus nodes to a constant value by verifiable pseudorandom sortition and performs transaction witness between nodes.
The algorithm is improved and optimized from three dimensions: throughput, latency, and scalability.
The experimental results show that the improved hybrid consensus algorithm is significantly superior to the previous single algorithms for its excellent scalability, high throughput, and low latency.
American Psychological Association (APA)
Wu, Yaqin& Song, Pengxin& Wang, Fuxin. 2020. Hybrid Consensus Algorithm Optimization: A Mathematical Method Based on POS and PBFT and Its Application in Blockchain. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1197835
Modern Language Association (MLA)
Wu, Yaqin…[et al.]. Hybrid Consensus Algorithm Optimization: A Mathematical Method Based on POS and PBFT and Its Application in Blockchain. Mathematical Problems in Engineering No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1197835
American Medical Association (AMA)
Wu, Yaqin& Song, Pengxin& Wang, Fuxin. Hybrid Consensus Algorithm Optimization: A Mathematical Method Based on POS and PBFT and Its Application in Blockchain. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1197835
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197835