无线社会网络动力学分析与建模

项目名称： 无线社会网络动力学分析与建模

项目编号： No.61001081

项目类型： 青年科学基金项目

立项/批准年度： 2011

项目学科： 金属学与金属工艺

项目作者： 蔺智挺

作者单位： 中国科学技术大学

项目金额： 7万元

中文摘要： 无线社会网络是指，社会成员之间因为无线互联而形成的关系体系。它提供了信息传播与共享，经济合作与交流的平台，在国家安全、经济、信息服务等领域中的作用日益凸现。无线社会网络中，节点的运动基于人类社会化的行为。越来越多证据显示，这些行为的时间统计特性无法用泊松过程刻画。但是，众多的无线路由协议设计，以及网络的性能分析却是建立在简单的泊松过程上。而且，社会网络无线化引发社会关系的模糊性和时序动态性，使得传统社会网络模型不再有效。因此，本项目自主研制模块化的无线社会网络实验平台，为无线社会网络建模提供实证数据，以便分析自驱动个体群集运动的形成、演化，建立无线社会网络动力学模型。提出无线社会网络社区快速发现算法，以便快速挖掘不同通信距离下网络的结构,以及异构无线社会网络下的网络特性。同时，提出基于动态队列管理机制的无线社会网络节能MAC协议与无线社会网络路由算法，提高无线社会网络实验平台运行时间，以获得长期的大量的实证数据。

中文关键词： 无线社会网络；动力学模型

英文摘要： Wireless social networking is a type of social networking where one or more individuals with similar interests or commonalities converse and connect with one another using the wireless devices. It serves as a platform for information dissemination and sharing, and economic cooperation. Wireless social networking plays an important role in national security, economic, and information services domains. The nodes movement in this kind of network is based on human social behavior. More and more evidence shows that the time statistics of the movement cannot be characterized by the Poisson process. However, the design and analysis of many wireless routing protocols are based on simple Poisson process. Moreover, the traditional social network model is no longer valid because of the fuzziness and dynamics of social relationship. Therefore, we develop a wireless test platform for wireless social networks, which can help us improve the reliability and accuracy of the model. A fast wireless social network community discovery algorithm has been proposed in order to find out structures of the wireless social networks in different communication range and the heterogeneous wireless network characteristics. For the characteristics of highly dynamic and sparse topology in wireless social networks, an energy efficient MAC protocol and a routing protocol are proposed to extend the running time of the platform for wireless social networking experiment. With these techniques, we can obtain a large number of long-term empirical data.

英文关键词： wireless social network; dynamic model