CAREER: Improving the Productivity of the Sensor Network Programmer

职业：提高传感器网络程序员的生产力

• 批准号: 0746632
• 负责人: Nigamanth Sridhar
• 金额: $ 45万
• 依托单位: Cleveland State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-02-01 至 2014-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0746632&HistoricalAwards=false
• 关键词: CAREER; Improving; Productivity; Sensor; Network

Wireless sensor networks (sensornets) have the potential to enable an unprecedented amount of visibility and control over the world around us. There are major obstacles to realizing this potential, however: the methods and tools available for constructing sensornet software are too brittle, and require specialized training to use effectively. This CAREER project is investigating ways to overcome these obstacles. In particular, this project involves creating programming and middleware artifacts, specification and reasoning techniques, and toolsets that can be easily used by "non-programmer" specialists -- researchers outside of the field of computing.The project has four major thrusts: (i) a system of programming that will enable non-programmer specialists to express applications in a form that is natural for them to develop sensornet applications on their own, (ii) a notation for specifying the functional behavior as well as performance and quality-of-service (QoS) profiles of software components that provide various services, (iii) a set of tools that will support application development, integrating the programming and specification systems, and (iv) integration of research findings into the graduate and undergraduate curricula, and outreach into the K-12 preparatory curricula.The success of this project will be validated through collaborative efforts along with researchers in transportation engineering, automation systems, and environmental science. The results from this project will be disseminated via papers in conferences and journals, and all the software created will be distributed to the research community under open-source licenses.

无线传感器网络（sensornets）有可能使我们周围的世界前所未有的可见性和控制。然而，实现这一潜力存在主要障碍：用于构建传感器网络软件的方法和工具太脆弱，需要专门的培训才能有效使用。这个职业项目正在研究克服这些障碍的方法。特别是，这个项目涉及创建编程和中间件工件，规范和推理技术，以及可以很容易地被“非程序员”专家-计算领域之外的研究人员使用的工具集。该项目有四个主要目标：（一）制定方案，使非-程序员专家以自然的形式表达应用程序，以便他们自己开发sensornet应用程序，（ii）用于指定提供各种服务的软件组件的功能行为以及性能和服务质量（QoS）简档的符号，（iii）将支持应用开发、集成编程和规范系统的一组工具，以及（iv）将研究成果融入研究生和本科生课程，并推广到K-12预科课程。该项目的成功将通过与运输工程、自动化系统和环境科学研究人员的合作努力沿着得到验证。该项目的成果将通过会议和期刊上的论文传播，所有创建的软件将根据开源许可证分发给研究界。