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Social-aware data dissemination in opportunistic mobile networks.

机译：机会移动网络中的社交感知数据分发。

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摘要

Recent technical advance of personal hand-held mobile computing devices necessities mobile data accessibility, which realizes “anytime, anywhere” computing without being constrained by the wired network links and fixed network locations. Such data accessibility could be realized by exploring unused communication opportunities between the short-range radios, such as Bluetooth or WiFi, of mobile devices, when they opportunistically move into the communication range of each other. These devices, therefore, form Opportunistic Mobile Networks..;The specific goal of this dissertation is to develop comprehensive solutions for providing mobile data accessibility in opportunistic mobile networks, when the cellular 3G or WiFi network infrastructure is unavailable. In particular, this dissertation explores the social behavior patterns of mobile users to address the challenges in network uncertainty, low quality, and subjectivity, and ensures that data can be efficiently disseminated to users being interested in the data by selecting appropriate nodes as relays to carry and forward data. An overall research strategy is to explore the correspondence of sociological concepts, including centrality, community, and homophily, in opportunistic communication among mobile users. Analytical measures of sociological concepts are devised to extract users’ implicit social links from observations of their social behavior patterns. These measures are then exploited for efficient network decisions on data dissemination.;This dissertation synthesizes three aspects of users’ social behavior patterns for prompt and efficient data dissemination. First, we investigate users’ social contact patterns, from which we propose centrality and community measures for facilitating opportunistic communication. Second, we take the satisfaction of socially correlated user interest into consideration, and incorporate users’ social interests into measuring user centrality. Third, we study the impact of homophily on data dissemination performance, and provide theoretical analysis on the optimal relay selection policies, from the correlation between friendship and interest similarity of mobile users.
机译：个人手持移动计算设备的最新技术进步需要移动数据可访问性，该功能可实现“随时随地”的计算，而不受有线网络链接和固定网络位置的限制。当移动设备机会性地移动到彼此的通信范围中时，可以通过探索移动设备的短距离无线电（例如蓝牙或WiFi）之间未使用的通信机会来实现这种数据可访问性。因此，这些设备形成了机会移动网络。本论文的具体目标是开发综合解决方案，以在蜂窝3G或WiFi网络基础设施不可用时在机会移动网络中提供移动数据可访问性。特别是，本文探讨了移动用户的社交行为模式，以应对网络不确定性，低质量和主观性方面的挑战，并通过选择适当的节点作为中继来确保将数据有效地传播给对数据感兴趣的用户并转发数据。总体研究策略是在移动用户之间的机会主义沟通中探索社会学概念（包括中心性，社区性和同质性）的对应关系。社会学概念的分析度量旨在从用户的社交行为模式观察中提取用户的隐性社交链接。然后利用这些措施来进行有效的数据分发网络决策。;本文综合了用户社交行为模式的三个方面，以进行快速有效的数据分发。首先，我们调查用户的社交联系方式，从中提出中心化和社区措施，以促进机会主义沟通。其次，我们考虑了与社会相关的用户兴趣的满意度，并将用户的社会兴趣纳入衡量用户中心性的过程。第三，我们研究了同构对数据分发性能的影响，并从移动用户的友谊和兴趣相似性之间的相关性出发，提供了关于最佳中继选择策略的理论分析。

著录项

  • 作者

    Gao, Wei.;

  • 作者单位

    The Pennsylvania State University.;

  • 授予单位 The Pennsylvania State University.;
  • 学科 Engineering Computer.;Computer Science.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 176 p.
  • 总页数 176
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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