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.

无线自组织网络和传感器网络固有的非确定性和动态性以及通信的局限性迫使人们重新审视经典网络的假设和模型。有必要建立健全的数学模型，以探讨物理和信息过程的概率和动态相互作用所引起的复杂性。因此，该项目的重点是建模和管理此类系统中的不确定性，目标是实现更好的理解，推导性能界限，并为协议设计开发创新策略和指南，以及为本科生和研究生提供前沿研究机会。双管齐下的研究方法包括理论和实验部分。多学科的理论部分结合了信息和通信理论，随机图论和随机几何的方法，而实验是基于一个传感器网络测试床与移动的元素。这个项目将有助于显着的能力，分析和设计强大的和资源有效的静态和移动的ad hoc和传感器网络，预计更广泛的网络社区将受益于模型和设计指南。一些模型有望被纳入标准模拟工具。研究结果不仅通过传统渠道传播，而且还通过教育推广部分传播，其更广泛的影响将通过应用于其他重要类别的网络而感受到，包括可能很快对我们社会的一个主要部分产生重要影响的多跳蜂窝网络。