CSR-EHS: Collaborative Research: A General, Efficient and Robust Platform for Enabling Control Applications in Sensor Networks

CSR-EHS：协作研究：用于在传感器网络中实现控制应用的通用、高效且稳健的平台

• 批准号: 0509383
• 负责人: Carlos Guestrin
• 金额: --
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2009-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0509383&HistoricalAwards=false
• 关键词: CSR; EHS; Collaborative; Research; General

The goal of this research project is to build an applicationinfrastructure and a suite of embedded system software that willenable the rapid development of software control and monitoringapplications, such as heating, ventilation, and air conditioningsystems (HVAC), on low-power, lossy wireless sensor-actuatornetworks. Such user-preference driven control applications requirethe ability to adapt to noise, loss, and failures in a large-scaledistributed network, and demand a high degree of automation inacquiring user preferences, making control decisions anddisseminating those decisions to the appropriate actuators.The Sensor Control System (SCS) being developed provides a high-level platform that allows users to express control applicationrequirements at the granularity of the entire network, enabling usersto focus on the requirements of their deployments by abstracting awaythe low-level sensor network details. SCS combines techniques frommachine learning and statistics with high-level abstractions inspiredby work in software systems and databases, allowing formathematically-sound decision making despite loss and uncertaintythat is inherent in such systems. The project will demonstrate the approach ona highly instrumented office environment. This research has the potential toimpact industry through the development of a new class of wirelesscontrol systems, and academia through the infusion of cross-disciplinary ideas into a variety of sub-fields of EECS. Thedatasets, code and the sensor-actuator deployments developed duringthe course of this research will be used in a range of educationalinitiatives.

该研究项目的目标是构建一个应用基础设施和一套嵌入式系统软件，以实现在低功耗、有损无线传感器执行器网络上快速开发软件控制和监控应用，例如供暖、通风和空调系统 (HVAC)。这种由用户偏好驱动的控制应用程序需要能够适应大规模分布式网络中的噪声、损耗和故障，并且需要高度自动化来获取用户偏好、做出控制决策并将这些决策传播到适当的执行器。正在开发的传感器控制系统（SCS）提供了一个高级平台，允许用户在整个网络的粒度上表达控制应用程序需求，从而实现 用户通过抽象低级传感器网络细节来专注于其部署的要求。 SCS 将机器学习和统计学技术与受软件系统和数据库工作启发的高级抽象相结合，尽管存在此类系统固有的损失和不确定性，但仍可以做出数学上合理的决策。 该项目将在高度仪器化的办公环境中演示该方法。这项研究有可能通过开发新型无线控制系统来影响工业界，并通过将跨学科思想注入 EECS 的各个子领域来影响学术界。本研究过程中开发的数据集、代码和传感器执行器部署将用于一系列教育活动。