Sensor Systems Technologies for Data-Driven Dynamic Scientific Applications

用于数据驱动的动态科学应用的传感器系统技术

• 批准号: 0723594
• 负责人: Manish Parashar
• 金额: $ 8.5万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-01 至 2009-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0723594&HistoricalAwards=false
• 关键词: Sensor; Systems; Technologies; Data; Driven

CSR?CSI?SGER: Sensor Systems Technologies for Dynamic Data-Driven Scientific Applications The overall goal of this research project is to develop sensor system middleware and programming support that will enable distributed networks of sensors to function, not only as passive measurement devices, but as intelligent data processing instruments, capable of data quality assurance, statistical synthesis and hypotheses testing as they stream data from the physical environment to the computational world. Specifically, this exploratory project will address the following research components: investigate a programming system that will support the development of in-network data processing mechanisms, and will enable scientific/engineering applications to discover, query, interact with, and control instrumented physical systems using semantically meaningful abstractions; investigate services for active in-network data processing that will generate appropriate data/information to drive novel algorithms for modeling, interpretation and decision making, as well as algorithms for information acquisition with dynamic qualities and properties from streams of data from the physical environment, and explore how applications can control data acquisition; and investigate middleware services for the application-driven dynamic management of sensor systems for physical instrumentation, including overlay sensor system runtime management and adaptation, computation/communication/power tradeoffs and dynamic load-balancing. The proposed research activities will be performed driven and validated with two different applications: (1) subsurface modeling and geo-system management and control and (2) contaminant management and geo-system remediation. A key deliverable of this research will be an experimental infrastructure that will build on the NSF Orbit wireless sensor network testbed at Rutgers University and develop the software infrastructure that will enable scientists and engineers to experiment with different aspects of dynamic data-driven application systems (DDDAS), and will design this simulation environment in close collaboration with the 2 different application groups so that it closely emulates their DDDAS requirements.

CSR？CSI？SGER：用于动态数据驱动的科学应用的传感器系统技术该研究项目的总体目标是开发传感器系统中间件和编程支持，该技术将使传感器的分布式网络能够发挥作用，而不仅仅是作为被动测量设备，而是作为能够将数据从物理环境流式传输到计算世界的智能数据处理工具，具有数据质量保证，统计合成和假设测试。具体而言，该探索性项目将解决以下研究组件：调查一个编程系统，该系统将支持网络内数据处理机制的开发，并将使科学/工程应用程序能够使用使用仪器系统来发现，查询，与工具系统进行使用语义上有意义的抽象；调查用于主动网络内数据处理的服务，这些服务将生成适当的数据/信息，以驱动用于建模，解释和决策制定的新颖算法，以及从物理环境中的动态质量和属性以及来自物理环境的动态质量和属性的信息获取算法，以及探索应用程序如何控制数据获取；并调查用于应用程序驱动的传感器系统动态管理的中间件服务，用于物理仪器，包括叠加传感器系统运行时管理和适应，计算/通信/功率折衷和动态负载平衡。 拟议的研究活动将通过两个不同的应用程序进行驱动和验证：（1）地下建模和地理系统管理和控制以及（2）污染物管理和地理系统补救。这项研究的关键可交付是一个实验性基础设施，该基础设施将建立在Rutgers University的NSF轨道无线传感器网络测试中，并开发软件基础架构，该软件基础架构将使科学家和工程师能够尝试动态数据驱动的应用系统的不同方面（DDDDAS（DDDDAS）（DDDDAS） ），并将与两个不同的应用程序组密切合作设计此模拟环境，以使其密切模拟其DDDAS的要求。