课题基金 / 基金详情

NeTS - NOSS: High-Level and Efficient Sensor Network Programs

NeTS - NOSS: High-Level and Efficient Sensor Network Programs
NeTS - NOSS:高级且高效的传感器网络程序
批准号:
0435497
负责人:
Edward Kohler
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-09-01 至 2008-08-31

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中文摘要
翻译
美国国家科学基金会网络技术和系统(NETS)CEISE/CNSForm 7审查分析和建议编号:0435497PI:Edward Kohler研究所:加州大学洛杉矶分校标题:高级和高效的传感器网络计划摘要:嵌入式联网传感器的应用程序必须在资源匮乏、未经维护、暴露在环境中和不可靠的硬件上运行良好。这些硬件限制排除了许多提高可编程性的传统方法,因为它们会带来很高的运行时成本。因此,系统专家必须参与应用程序开发和部署的每个阶段,而科学家不能自己构建传感器应用程序。这限制了传感器网络能否很好地解决真正的科学问题,因为部署取决于几个系统专家的参与。该研究项目使用编程语言技术,使高效的传感器网络应用程序易于部署和调整。一组新的传感器组件和用于组件配置的高级编程语言结合在一起,形成了智能、高效的应用级服务库。使用这些服务,科学家只需两到三行代码就可以定义优化的应用程序,从而针对不同的现场条件更快地部署和调整应用程序,从而提高科学的响应性。该项目将产生一个新的TinyOS组件库,一个传感器网络编程语言(SNACK)和编译器,一套为不同应用类型设计的零食服务,以及几个样本应用程序,其中一些是为课堂使用而设计的。所有的代码都将自由和广泛地分发。
英文摘要
National Science FoundationNetwork Technologies and Systems (NeTS)CISE/CNSForm 7 Review Analysis and RecommendationProposal Number: 0435497PI: Edward Kohler Institution: University of California, Los AngelesTitle: High-level and Efficient Sensor-Network Programs Abstract: Applications for embedded networked sensors must run well on resource-poor, unmaintained, environmentally exposed, and unreliable hardware. These hardware constraints rule out many traditional approaches for improving programmability, since they impose high runtime cost. As a result, system specialists must be involved in every stage of application development and deployment, and scientists cannot construct sensor applications on their own. This limits how well sensor networks can solve real scientific problems, since deployment is gated on the involvement of a few systems experts. This research program uses programming language technology to make efficient sensor network applications easy to deploy and tune. A set of new sensor components and a higher-level programming language for component configurations combine to form smart, efficient libraries of application-level services. Using these services, scientists can define an optimized application in just two or three lines of code, enabling quicker application deployment and tuning for different field conditions and, thus, more responsive science. The project will produce a new TinyOS component library, a sensor network programming language (SNACK) and compiler, a set of SNACK services designed for different application types, and several sample applications, including some designed for classroom use. All of the code will be freely and widely distributed.
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