Sensor Systems Technologies for Data-Driven Dynamic Scientific Applications

企业社会责任?CSI吗?SGER：动态数据驱动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，使分布式传感器网络不仅可以作为无源测量设备，而且可以作为智能数据处理工具，能够在数据从物理环境流到计算世界时保证数据质量，统计合成和假设测试。具体来说，这个探索性项目将解决以下研究组成部分：调查一个编程系统，该系统将支持网络内数据处理机制的发展，并将使科学/工程应用能够使用语义上有意义的抽象来发现、查询、与仪表物理系统交互和控制；研究主动网络数据处理服务，这些服务将生成适当的数据/信息，以驱动用于建模、解释和决策的新算法，以及用于从物理环境的数据流中获取具有动态质量和属性的信息的算法，并探索应用程序如何控制数据获取；并研究用于物理仪器传感器系统的应用驱动动态管理的中间件服务，包括覆盖传感器系统运行时管理和自适应，计算/通信/功率权衡和动态负载平衡。拟议的研究活动将在两个不同的应用程序中进行驱动和验证：(1)地下建模和地质系统管理与控制；(2)污染物管理和地质系统修复。这项研究的一个关键成果将是一个实验基础设施，该基础设施将建立在罗格斯大学的NSF轨道无线传感器网络试验台上，并开发软件基础设施，使科学家和工程师能够对动态数据驱动应用系统（DDDAS）的不同方面进行实验，并将与两个不同的应用小组密切合作设计这个模拟环境，以便它能紧密地模拟他们的DDDAS需求。

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.