Communication Optimization in Blockchain Peer-to-Peer Networks

被引：0

作者：

Zhang, Ke ^{[1
]}

Peng, Zhenwen ^{[1
]}

Zong, Ruixing ^{[1
]}

Wang, Qiong ^{[2
]}

Xiao, Xiong ^{[1
]}

Tang, Zhuo ^{[1
]}

机构：

[1] Hunan Univ, Changsha, Peoples R China

[2] Yancheng Blockchain Res Inst, Hengyang, Peoples R China

来源：

PROCEEDINGS OF THE 2024 27 TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, CSCWD 2024 | 2024年

基金：

中国博士后科学基金; 中国国家自然科学基金; 国家重点研发计划;

关键词：

Communication Optimization; blockchain; distributed computing; deep learning;

D O I：

10.1109/CSCWD61410.2024.10580841

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

With the rapid development of blockchain technology, its network size has increased by hundreds or thousands of times. For large-scale blockchain networks, consensus algorithms need to be used to achieve consensus among dispersed nodes. Only blocks approved by more than half of the nodes can truly achieve blockchain. Therefore, communication efficiency in blockchain networks is crucial, and the excessive communication delay generated as the number of nodes increases can seriously affect the processing efficiency of blockchain systems. Therefore, we have designed a consensus mechanism based on grouping for the structural characteristics of P2P communication networks in blockchain systems, and a deep learning based grouping algorithm for the decentralized P2P networks. Through experiments, it can be seen that our algorithm can improve the communication efficiency of 74.3%-76.1% compared to the unoptimized decentralized P2P network nodes.

引用

页码：742 / 747

页数：6

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