User-centric data dissemination in disruption tolerant networks

Data dissemination is useful for many applications of Disruption Tolerant Networks (DTNs). Current data dissemination schemes are generally network-centric ignoring user interests. In this paper, we propose a novel approach for user-centric data dissemination in DTNs, which considers satisfying user interests and maximizes the cost-effectiveness of data dissemination. Our approach is based on a social centrality metric, which considers the social contact patterns and interests of mobile users simultaneously, and thus ensures effective relay selection. The performance of our approach is evaluated from both theoretical and experimental perspectives. By formal analysis, we show the lower bound on the cost-effectiveness of data dissemination, and analytically investigate the tradeoff between the effectiveness of relay selection and the overhead of maintaining network information. By trace-driven simulations, we show that our approach achieves better cost-effectiveness than existing data dissemination schemes.

数据传播对于容断网络（DTNs）的许多应用是有用的。当前的数据传播方案通常以网络为中心，忽略了用户兴趣。在本文中，我们提出了一种在容断网络中以用户为中心的数据传播新方法，该方法考虑满足用户兴趣并使数据传播的成本效益最大化。我们的方法基于一种社会中心性度量，它同时考虑移动用户的社会接触模式和兴趣，从而确保有效的中继选择。我们从理论和实验两个角度评估了我们方法的性能。通过形式分析，我们展示了数据传播成本效益的下限，并分析研究了中继选择的有效性和维护网络信息的开销之间的权衡。通过基于轨迹的模拟，我们表明我们的方法比现有的数据传播方案实现了更好的成本效益。