基于D2D通信的协同内容检索的社会感知命名数据框架

Lingjun Pu, Xu Chen, Jingdong Xu, Xiaoming Fu
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引用次数: 7

摘要

在本文中,我们提倡合作内容检索,这是一种新颖的、以内容为中心的服务范式,通过设备对设备(D2D)通信来减少蜂窝通信量,并促进移动网络中的用户无线连接。通过利用命名数据网络(NDN)原则,我们提出了sNDN,一个社会感知的NDN框架,以实现高效的协同内容检索。具体来说,sNDN通过将用户与物理上接近和内容相似的亲密朋友分组来引入友谊圈。我们构建了以朋友圈相遇频率为条件的NDN路由表来导航朋友圈之间的内容请求和内容交付,并利用朋友圈中的社交属性来搜索最终目标作为朋友圈内部路由。评估结果表明,sNDN明显优于其他内容检索方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
sNDN: A Social-aware Named Data Framework for Cooperative Content Retrieval via D2D Communications
In this paper, we advocate cooperative content retrieval, a novel and content-centric service paradigm via device-to-device (D2D) communications to reduce cellular traffic volume and to facilitate user wireless connectivity in mobile networks. By leveraging the Named Data Networking (NDN) principle, we propose sNDN, a social-aware NDN framework to achieve efficient cooperative content retrieval. Specifically, sNDN introduces Friendship Circle by grouping a user with her close friends of high physical proximity and content similarity. We construct NDN routing tables conditioned on Friendship Circle encounter frequency to navigate content requests and content deliveries between Friendship Circles, and leverage social properties in Friendship Circle to search for the final target as inner-Friendship Circle routing. The evaluation results demonstrate that sNDN outperforms other content retrieval schemes significantly.
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