CAREER: Modeling and Managing Uncertainty in Wireless Ad Hoc and Sensor Networks

职业：无线自组网和传感器网络中的不确定性建模和管理

• 批准号: 0447869
• 负责人: Martin Haenggi
• 金额: $ 40万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-02-01 至 2011-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0447869&HistoricalAwards=false
• 关键词: CAREER; Modeling; Managing; Uncertainty; Wireless

The inherent non-determinism and dynamism and the communicational limitations of wireless ad hoc and sensor networks force a reexamination of the assumptions and models used for classical networks. There is a need for sound mathematical models to explore the complexities induced by the probabilistic and dynamic interaction of the physical and information processes. Hence, this project focuses on modeling and managing uncertainty in such systems, with the goals of achieving an improved understanding, deriving performance bounds, and developing innovative strategies and guidelines for protocol design, as well as providing cutting-edge research opportunities for both undergraduate and graduate students. The two-pronged research approach includes a theoretical and an experimental component. The multidisciplinary theoretical part combines methodologies from information and communication theory, and random graph theory and stochastic geometry, whereas the experiments are based on a sensor network testbed with mobile elements.This project will contribute significantly to the ability to analyze and design robust and resource-efficient static and mobile ad hoc and sensor networks, and it is expected that the broader networking community will benefit from the models and design guidelines. Some models will hopefully be incorporated into standard simulation tools. The research findings are disseminated not only through the traditional channels but also via an educational outreach component, and their broader impact will be felt through the application to other important classes of networks, including multi-hop cellular networks that may soon become significant for a major part of our society.

无线临时和传感器网络的固有的非确定性和动力学以及通信局限性迫使对经典网络使用的假设和模型进行重新审查。需要声音数学模型来探索物理和信息过程的概率和动态相互作用引起的复杂性。因此，该项目的重点是建模和管理此类系统的不确定性，其目标是提高理解，得出绩效界限，开发创新的策略和协议设计指南，并为本科生和研究生提供尖端的研究机会。两管齐下的研究方法包括理论和实验组成部分。多学科理论部分结合了信息和通信理论中的方法论以及随机图理论和随机几何形状，而实验基于使用移动元素进行的传感器网络测试。此项目将对分析和设计强大的静态和效率的静态和移动的AD HOC和移动网络和传感器网络和该指南的构建和工具的构建和工具构成范围和工具的范围，从而有助于分析和设计可靠的稳健和资源的静态和资源。有望将一些模型纳入标准仿真工具中。研究发现不仅通过传统渠道，而且通过教育外展部分传播，并且通过应用于其他重要类别网络的应用程序将感受到更广泛的影响，包括多跳蜂窝网络，这些网络可能很快在我们社会的主要部分中变得重要。