The Modification of pBFT Algorithm to Increase Network Operations Efficiency in Private Blockchains

Author:

Min Youn-A

Abstract

The use of blockchain technology is becoming more widespread. Governments have expanded their use of the technology from online polls to business management of smaller local governments while private institutions have increased their services from financial to medical services management. This paper presents the modified pBFT blockchain consensus algorithm for a more efficient data management method in cases of applying blockchains in authorized nodes such as governmental agencies. The network communication cost was minimized while the consensus accuracy was maximized by applying a method of simplifying the request management process and electing the reliability-based consensus node during the pBFT consensus algorithm process. By applying the modified pBFT consensus algorithm, stability and speed of the consensus and verification process among various organizations can be guaranteed as well as application in efficient management and value creation of data.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference22 articles.

1. Bitcoin: A Peer-to-Peer Electronic Cash System http://nakamotoinstitute.org/static/docs/bitcoin.pdf

2. Management and Monitoring of IoT Devices Using Blockchain

3. Plato https://zephyrnet.com/ko/pwc-%EB%B3%B4%EA%B3%A0%EC%84%9C-%EB%B8%94%EB%A1%9D-%EC%B2%B4%EC%9D%B8,-1-%EB%85%84%EA%B9%8C%EC%A7%80-%EA%B8%80%EB%A1%9C%EB%B2%8C-GDP-76-%EC%A1%B0-2030-%EC%A1%B0-%EC%A6%9D%EA%B0%80/

4. Fairness-Based Packing of Industrial IoT Data in Permissioned Blockchains

5. 2144.1-2020—IEEE Standard for Framework of Blockchain-based Internet of Things (IoT) Data Management,2020

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