图型区块链的分级医药溯源模型设计  

Design of hierarchical medicine traceability model based on dag blockchain

作　　者：李莉[1] 杨祉坤 张超 吴怡 陈云鹏 LI Li;YANG Zhi-kun;ZHANG Chao;WU Yi;CHEN Yun-peng(School of Information and Computer Engineering,Northeast Forestry University,Harbin 150040,China)

机构地区：[1]东北林业大学信息与计算机工程学院,黑龙江哈尔滨150040

出　　处：《计算机工程与设计》2022年第12期3555-3562,共8页Computer Engineering and Design

基　　金：黑龙江省教育科学规划课题-重点课题基金项目(GJB1421251)。

摘　　要：为解决传统单链区块链医药溯源系统吞吐率低、存储开销大的问题,提出图型区块链分级医药溯源模型。将图型区块链引入医药溯源领域中,在原有图型区块链结构上进行分区处理,根据标志字段将医药信息进行分级并存储到对应的分区中,提升溯源信息验证效率,增大吞吐量。将全网节点划分为多个子网络,每个节点只需要存对应的信息,降低节点存储开销。实验结果表明,该模型在吞吐量、验证效率、单个节点存储开销方面均优于现有医药溯源系统。To solve the problems of low throughput and high storage cost of traditional single-chain block chain medical traceability system,a graph block chain hierarchical medical traceability model was proposed.The graph block chain was introduced into the field of medical traceability,and the original graph block chain structure was partitioned.According to the mark field,the medical information was classified and stored in the corresponding partition,which improved the verification efficiency of the traceability information and increased the throughput.The whole network nodes were divided into multiple sub-networks,and each node only needed to store the corresponding information,which reduced the storage cost of nodes.Experimental results show that the proposed model is superior to the existing medical traceability system in throughput,validation efficiency and sto-rage cost of a single node.

关 键 词：DAG区块链 图型区块链分区 医药溯源 标志字段处理 MCMC算法 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]