移动医疗社会化网络中基于病症团体的数据转发算法  

Data forwarding algorithm based on disease group in mobile healthcare social network

作　　者：任丽丽 张拥军 REN Lili;ZHANG Yongjun(School of Public Foundation,Bengbu Medical College,Bengbu Anhui 233030,China)

机构地区：[1]蚌埠医学院公共基础学院,安徽省蚌埠市233030

出　　处：《阜阳师范大学学报（自然科学版）》2022年第1期65-69,共5页Journal of Fuyang Normal University:Natural Science

基　　金：蚌埠医学院自然科学重点项目(BYKY2019001ZD,BYKY1626ZD)。

摘　　要：为了研究移动医疗社会化网络(Mobile Healthcare Social Networks,MHSNs)中节点间接性传输的性能,提出了一种基于病症团体的数据转发算法。该算法的主要思想是携带数据包的源节点分别通过在社区内和社区间,结合节点与目的节点关系的判断而转发数据给相遇节点。仿真结果显示,与Epidemic、Label、PS算法相比,提出的算法可以明显降低网络开销并取得较好的网络传递性能。In order to study the transmission performance of MHSN,a disease-group-based data forwarding algorithm was proposed.The main idea is that the source nodes carrying packets forward the data to the encounter node through the judgment of the relationship between nodes and destination node respectively.And the judgment is mainly divided into whether they were in the same community or not.Simulations show that,compared with Epidemic algorithm,Label algorithm,Publish/Subscribe system,the algorithm in this paper could reduce the network overhead obviously and also could increase delivery ratio significantly.

关 键 词：社交网络 数据转发 网络开销 移动医疗 传递率 社区 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]