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MANDALA: A scalable blockchain model with mesh-and-spoke network and H-PBFT consensus algorithm

文献类型：期刊论文

作者Li, Jinze1,4; Li, Xiaofeng1,4; Zhao, He1; Yu, Bin2; Zhou, Tong2,3; Cheng, Haotian1; Sheng, Nianzu2,3
刊名PEER-TO-PEER NETWORKING AND APPLICATIONS
出版日期2022-10-04
关键词Blockchain Network structure Consensus Scalability
ISSN号1936-6442
DOI10.1007/s12083-022-01373-w
通讯作者Zhao, He(zhaoh@hfcas.ac.cn) ; Zhou, Tong(tzhou@hfcas.ac.cn)
英文摘要With the rapid development of blockchain technology, the scale of its participants continues to expand. The network structure and the PBFT consensus algorithm of the blockchain have problems such as low transmission efficiency and high communication overhead, resulting in poor scalability. To solve these problems, we aim to improve the scalability of the blockchain so that it can support large-scale nodes for efficient transmission and communication. In this study, we propose a model named MANDALA with Mesh-and-Spoke Network and H-PBFT Consensus. The Mesh-and-Spoke network groups nodes into different layers and regulates communication rules among groups, which improves the network transmission efficiency. Then, we propose the Hierarchical Practical Byzantine Fault Tolerance (H-PBFT) consensus algorithm. It divides the consensus of the whole network into several sub-layers, which achieves lower communication complexity and improves fault tolerance. We simulated the model to validate its performance and security. The results indicated that it reduced the communication overhead and improved the effective transmission rate and throughput under the premise of ensuring security. Compared with other blockchain optimization schemes, our model features better consensus efficiency, security, and scalability.
资助项目National Key R&D Program of China[2021YFB2700800]
WOS研究方向Computer Science ; Telecommunications
语种英语
WOS记录号WOS:000864244700002
出版者SPRINGER
资助机构National Key R&D Program of China
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/129347]  
专题中国科学院合肥物质科学研究院
通讯作者Zhao, He; Zhou, Tong
作者单位1.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
2.Anhui ZhongKeJingGe Technol Co Ltd, Hefei, Peoples R China
3.CAS Hefei Inst Technol Innovat, Blockchain & Perceptual Comp Engn & Technol R&D C, Hefei, Peoples R China
4.Univ Sci & Technol China, Hefei 230026, Peoples R China
推荐引用方式
GB/T 7714		 Li, Jinze,Li, Xiaofeng,Zhao, He,et al. MANDALA: A scalable blockchain model with mesh-and-spoke network and H-PBFT consensus algorithm[J]. PEER-TO-PEER NETWORKING AND APPLICATIONS,2022.
APA Li, Jinze.,Li, Xiaofeng.,Zhao, He.,Yu, Bin.,Zhou, Tong.,...&Sheng, Nianzu.(2022).MANDALA: A scalable blockchain model with mesh-and-spoke network and H-PBFT consensus algorithm.PEER-TO-PEER NETWORKING AND APPLICATIONS.
MLA Li, Jinze,et al."MANDALA: A scalable blockchain model with mesh-and-spoke network and H-PBFT consensus algorithm".PEER-TO-PEER NETWORKING AND APPLICATIONS (2022).

入库方式： OAI收割

来源：合肥物质科学研究院

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