Author
Listed:
- Xiaohong Deng
(School of Information Engineering, Gannan University of Science and Technology, Ganzhou 341000, China
Key Laboratory of Digital Cultural Preservation and Intelligent Innovation, Ganzhou 341000, China)
- Lihui Liu
(School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China)
- Zhigang Chen
(School of Computer Science and Engineering, Central South University, Changsha 410083, China)
- Xinrong Lu
(School of Information Engineering, Gannan University of Science and Technology, Ganzhou 341000, China)
- Juan Li
(School of Information Engineering, Gannan University of Science and Technology, Ganzhou 341000, China)
Abstract
While the practical Byzantine fault tolerance (PBFT) consensus algorithm provides excellent theoretical fault tolerance, its performance in practical blockchain applications is often constrained by high communication overhead, especially in scenarios with limited node resources and high mobility, such as Vehicular Ad hoc Networks (VANETs). To address these blockchain-specific limitations without sacrificing the fundamental safety guarantees against arbitrary Byzantine failures, this paper proposes a novel PBFT-optimized consensus algorithm based on a dynamic reputation tree (DRT-PBFT). First, to address the issue of limited storage resources, we propose a block synchronization method based on differentiated storage of reputation values. The lower-reputation nodes retain only “micro-blocks” that contain essential information of the complete block, while the higher-reputation nodes store and synchronize complete blocks, significantly reducing the storage overhead. Second, on the basis of the reputation values, we construct a tree communication topology from the leaf node layer in a bottom-up manner. Messages are transmitted from multiple child nodes to their parent node, resolving the problem of a single message source in the tree structure. Additionally, we optimize the consensus process, reducing the number of mutual communications between nodes to a linear level. Finally, to address the problem of malicious nodes in the tree structure, we introduce a dynamic reconstruction mechanism for the reputation tree. When child node messages are inconsistent, the parent node splits the child nodes to mitigate the influence of malicious nodes, enhancing both the security and scalability of the consensus process. The experimental results show that, compared with typical improved PBFT algorithms, the proposed algorithm improves the average throughput by 34.1% and reduces the average latency by 27.4%. Moreover, compared with the full replication block synchronization method, the differentiated storage method reduces the storage overhead by 26.3%, making it potentially more suitable for large-scale VANET scenarios.
Suggested Citation
Xiaohong Deng & Lihui Liu & Zhigang Chen & Xinrong Lu & Juan Li, 2026.
"DRT-PBFT: A Novel PBFT-Optimized Consensus Algorithm for Blockchain Based on Dynamic Reputation Tree,"
Future Internet, MDPI, vol. 18(3), pages 1-31, March.
Handle:
RePEc:gam:jftint:v:18:y:2026:i:3:p:150-:d:1895527
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:18:y:2026:i:3:p:150-:d:1895527. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.