EAGER: Topology Design in Socio-Temporal Evolving Wireless Networks
EAGER: Topology Design in Socio-Temporal Evolving Wireless Networks
批准号:
1050398
负责人:
Yu Wang
金额:
$14.92万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-01 至 2013-08-31
中文摘要
无线网络经常随着时间的推移而发展:如果一些节点出现,消失或移动,拓扑结构就会发生变化。这种时域上的动态特性在协议设计中经常被忽略,或者简单地由纯随机性建模,例如在众所周知的随机游走移动性模型中。然而,在真实的无线网络中,节点的移动性和拓扑结构的演化严重依赖于网络和网络参与者的社会和时间特性。在这样的社会时间演变的无线网络中,传统的通信协议设计的移动的ad hoc网络和延迟容忍网络是低效的,由于时变的结构,长延迟,并缺乏连续的连接。为了解决这个问题,本项目寻求一个新的探索性研究的社会-时间演变的无线网络和拓扑控制协议,这样的网络,具体地说,(1)分析和建模的社会-时间动态演变的无线网络使用现实生活中的无线网络跟踪数据;(2)设计有效的拓扑控制协议,这些社会-时间模型的基础上。预期的结果包括新的社会时间模型和新的拓扑控制协议,它可以支持许多新的民用和军事应用。该项目的成功提供了对时间演进无线网络的社会和时间属性的深入理解,并加强了网络科学和社会科学之间的跨学科研究。研究结果将纳入网络课程,并通过会议/期刊出版物广泛传播。
英文摘要
Wireless networks often evolve over time: changes of topology can occur if some nodes appear, disappear, or move around. Such dynamics over time domain are often ignored in protocol design or simply modeled by pure randomness such as in the well-known random walk mobility model. However, in real wireless networks, the node mobility and topology evolution depend heavily on both social and temporal characteristics of the network and network participants. In such socio-temporal evolving wireless networks, traditional communication protocols designed for mobile ad hoc networks and delay tolerant networks are inefficient due to time-varying structures, long delays, and the lack of continuous connectivity. To address this problems, this project seeks a new exploratory study of socio-temporal evolving wireless networks and topology control protocols for such networks, specifically, to (1) analyze and model socio-temporal dynamics of evolving wireless networks by using real-life wireless networking tracing data; (2) design efficient topology control protocols based on these socio-temporal models. The expected results include new socio-temporal models and novel topology control protocols, which can support many new civilian and military applications. The success of this project provides a deep understanding of both social and temporal properties of time-evolving wireless networks and enhances the interdisciplinary research between network science and social science. The research results will be incorporated into networking courses and widely disseminated through conference/journal publications.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
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