标题： 跟踪拓扑动态性以进行间歇性连接无线网络中的链接预测 显示英文标题

标题： Tracking Topology Dynamicity for Link Prediction in Intermittently Connected Wireless Networks

摘要： 通过多项研究，已经强调了移动网络中的移动模式是由人类行为驱动的。 这种现象在间歇性连接网络中尤其被观察到，如DTN（容迟网络）。 鉴于常见的社交意图会产生相似的人类行为，因此在网络协议设计中利用这一知识是相关的，例如。 用于识别两个节点之间的接近程度。 在本文中，我们提出了一种针对DTN的时间链路预测技术，该技术量化每对节点之间的行为相似性，并利用它来预测未来的链路。 我们证实基于张量的技术对于应用于间歇性连接网络的时间链路预测是有效的。 当以分布式方式（即使用局部信息）进行预测时，该方法的有效性得到了证明，并且其性能与文献中提出的知名链路预测指标进行了比较。 显示英文摘要

摘要： Through several studies, it has been highlighted that mobility patterns in mobile networks are driven by human behaviors. This effect has been particularly observed in intermittently connected networks like DTN (Delay Tolerant Networks). Given that common social intentions generate similar human behavior, it is relevant to exploit this knowledge in the network protocols design, e.g. to identify the closeness degree between two nodes. In this paper, we propose a temporal link prediction technique for DTN which quantifies the behavior similarity between each pair of nodes and makes use of it to predict future links. We attest that the tensor-based technique is effective for temporal link prediction applied to the intermittently connected networks. The validity of this method is proved when the prediction is made in a distributed way (i.e. with local information) and its performance is compared to well-known link prediction metrics proposed in the literature.