DTN的分销商以他们的兴趣为基础
Disseminacao de mensagens DTN com base em grupos de interesses
摘要：
最近的工作探讨了节点的社会特性，以提高延迟容忍网络（DTN）的消息传递率。这项工作使用机器学习技术来创建由共同兴趣组织的节点组。消息被发送到目标群体，并从那里发送到最终目的地。使用ONE仿真器的仿真结果表明，组的大小越大，消息传递率越高，在某些情况下，达到100%。本文还提出了相关的利益集团，如消息传递率，传递延迟和平均跳数传递消息的结果。总体结果表明，基于组的路由是一个很有前途的研究领域。
英文摘要：
Recent works explore social characteristics of nodes to improve message delivery rate in Delay Tolerant Networks (DTN). This work uses machine learning techniques to create node groups organized by common interests. Messages are sent to target groups, and from there to the final destination. Simulation results using The ONE simulator show that the larger the group size the higher the message delivery rate, that reaches 100% in some cases. The paper also presents results related to the groups of interest such as message delivery rat, delivery delay and an average number of hops to deliver messages. The overall results indicate that group-based routing is a promising research filed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
