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: 0509220
• 负责人: Amol Deshpande
• 金额: $ 20万
• 依托单位: University of Maryland, College Park
• 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 2008-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0509220&HistoricalAwards=false
• 关键词: CSR; EHS; Collaborative; Research; General

The goal of this research project is to build an application infrastructure and a suite of embedded system software that will enable the rapid development of software control and monitoring applications, such as heating, ventilation, and air conditioning systems (HVAC), on low-power, lossy wireless sensor-actuatornetworks. Such user-preference driven control applications require the ability to adapt to noise, loss, and failures in a large-scale distributed network, and demand a high degree of automation inacquiring user preferences, making control decisions and disseminating those decisions to the appropriate actuators.The Sensor Control System (SCS) being developed provides a high-level platform that allows users to express control application requirements at the granularity of the entire network, enabling users to focus on the requirements of their deployments by abstracting away the low-level sensor network details. SCS combines techniques from machine learning and statistics with high-level abstractions inspired by work in software systems and databases, allowing for mathematically-sound decision making despite loss and uncertaintythat is inherent in such systems. The project will demonstrate the approach on a highly instrumented office environment. This research has the potential to impact industry through the development of a new class of wireless control systems, and academia through the infusion of cross-disciplinary ideas into a variety of sub-fields of EECS. The datasets, code and the sensor-actuator deployments developed duringthe course of this research will be used in a range of educational initiatives.

该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的快速发展，如加热，通风和空调系统（HVAC），低功耗，有损无线传感器执行器网络。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、损失和故障的能力，并且需要在获取用户偏好方面的高度自动化，作出控制决定，并将这些决定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个级别的平台，允许用户在整个网络的粒度上表达控制应用程序的要求，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启发的高级抽象相结合，尽管这些系统中固有的损失和不确定性，仍然可以做出合理的决策。 该项目将在高度仪器化的办公室环境中演示该方法。这项研究有可能通过开发一类新的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。