南京理工大学学报（自然科学版）2016，Vol.40Issue(3)：290-296,7.DOI:10.14177/j.cnki.32-1397n.2016.40.03.007
DTN 中网络场景与路由度量映射模型
Mapping model of netwo rk scenarios and routing metrics in DTN
摘要
Abstract
Aiming to accelerate the long-term network delivery rate and improve network transmission performance of delay tolerant networks (DTN),a mapping model of network scenarios and routing metrics is proposed here .A network scenarios classification method based on k-means clustering algorithm is proposed by taking real standard trace datasets as samples and analyzing DTN network characteristics .The network delivery rate in time to live ( TTL) is computed using the temporal graph and Floyd algorithm .A mapping model of network scenarios and routing metrics is constructed using the destructive analysis method .The simulation results verify the validity of the model proposed here .关键词
容延网络/网络场景分类/路由度量/k-means聚类算法/时间图/Floyd算法/网络可达率Key words
delay tolerant networks/network scenarios classifications/routing metrics/k-means clustering algorithm/temporal graph/Floyd algorithm/network delivery rate分类
信息技术与安全科学引用本文复制引用
秦珍珍,王玉皞,吴婷婷..DTN 中网络场景与路由度量映射模型[J].南京理工大学学报（自然科学版）,2016,40(3):290-296,7.基金项目
中国博士后科学基金 （）
