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.

本研究项目的目标是建立一个应用基础设施和一套嵌入式系统软件，使软件控制和监测应用，如加热，通风和空调系统（HVAC），在低功耗，有损无线传感器执行器网络的快速发展。这种用户偏好驱动的控制应用需要适应大规模分布式网络中的噪声、丢失和故障的能力，并且需要在获取用户偏好方面的高度自动化，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）提供了一个高性能的一级平台，允许用户在整个网络的粒度上表达控制应用需求，使用户能够通过抽象出低级别的传感器网络细节来关注其部署的要求。 SCS将机器学习和统计学的技术与软件系统和数据库中的工作所激发的高级抽象相结合，允许在这种系统中固有的损失和不确定性的情况下做出合理的决策。 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一种新的无线控制系统来影响工业界，并通过将跨学科的思想注入EECS的各种子领域来影响学术界。在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计划。