CSR: Small: Collaborative Research: Bridging Reliability Analysis and Reality in Sensor Systems: Theories and Applications

CSR：小型：协作研究：连接传感器系统的可靠性分析和现实：理论与应用

• 批准号: 1112935
• 负责人: Yan Sun
• 金额: $ 16.34万
• 依托单位: University of Rhode Island
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1112935&HistoricalAwards=false
• 关键词: CSR; Small; Collaborative; Research; Bridging

From the viewpoint of researchers, developers, and even consumers, reliability analysis is recognized as an indispensable step before sensor network systems can be widely deployed for mission-critical applications. However, there is a big gap between traditional network reliability analysis theories and realistic sensor network system environments. The primary objective of this research is to close such gap through new metrics, analytical models, and approaches for the reliability analysis of large-scale sensor networks. Specifically, the research has three major components: 1) concepts, metrics, and models for describing the reliability behavior of sensor networks, 2) new algorithms and methodologies for efficient reliability evaluation of sensor networks, and 3) applications/case studies for demonstrating the practical significance of the proposed theoretical approaches. The new reliability theories and methodologies developed through this project are fundamental contributions to the body of knowledge on the network system reliability as well as to the design of reliable sensor systems. Additionally, a software tool and a prototype sensor system for railway monitoring will be built to validate the proposed research, and render the theoretical research operational and applicable. This project has broader impacts through graduate and undergraduate education, and through an integrated outreach and group mentoring program that will promote recruitment and retention of female students in engineering disciplines.

从研究人员，开发人员甚至消费者的角度来看，可靠性分析被认为是在传感器网络系统可以广泛部署到关键任务应用程序之前的必不可少的步骤。 但是，传统网络可靠性分析理论与逼真的传感器网络系统环境之间存在很大的差距。这项研究的主要目的是通过新的指标，分析模型和大规模传感器网络可靠性分析的方法来缩小此类差距。具体而言，该研究具有三个主要组成部分：1）用于描述传感器网络可靠性行为的概念，指标和模型，2）用于有效的传感器网络可靠性评估的新算法和方法，以及3）应用程序/案例研究，以证明提出的理论方法的实际意义。通过该项目开发的新的可靠性理论和方法是对网络系统可靠性以及可靠传感器系统设计的知识体系的基本贡献。此外，将构建用于验证拟议研究的软件工具和用于铁路监控的原型传感器系统，并构建理论研究操作和适用。该项目通过研究生和本科教育产生了更大的影响，并通过综合的外展和小组指导计划，该计划将促进女学生在工程学科中的招聘和保留。