FPSblo:A Blockchain Network Transmission Model Utilizing Farthest Point Sampling

作     者：Longle Cheng Xiru Li Shiyu Fang Wansu Pan He Zhao Haibo Tan Xiaofeng Li 

作者机构：Hefei Institutes of Physical ScienceChinese Academy of SciencesHefei230031China University of Science and Technology of ChinaHefei230026China 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2024年第78卷第2期

页      面：2491-2509页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

基　　金：This present research work was supported by the National Key R&D Program of China(No.2021YFB2700800) the GHfund B(No.202302024490) 

主　　题：Blockchain P2P networks scalability farthest point sampling 

摘      要：Peer-to-peer(P2P)overlay networks provide message transmission capabilities for blockchain *** data transmission efficiency in P2P networks can greatly enhance the performance of blockchain ***,traditional blockchain P2P networks face a common challenge where there is often a mismatch between the upper-layer traffic requirements and the underlying physical network *** mismatch results in redundant data transmission and inefficient routing,severely constraining the scalability of blockchain *** address these pressing issues,we propose FPSblo,an efficient transmission method for blockchain *** inspiration for FPSblo stems from the Farthest Point Sampling(FPS)algorithm,a well-established technique widely utilized in point cloud image *** this work,we analogize blockchain nodes to points in a point cloud image and select a representative set of nodes to prioritize message forwarding so that messages reach the network edge quickly and are evenly ***,we compare our model with the Kadcast transmission model,which is a classic improvement model for blockchain P2P transmission networks,the experimental findings show that the FPSblo model reduces 34.8%of transmission redundancy and reduces the overload rate by 37.6%.By conducting experimental analysis,the FPS-BT model enhances the transmission capabilities of the P2P network in blockchain.