NetSE: Cross-domain Design Tools for Sensor Network and Architecture

NetSE：传感器网络和架构的跨域设计工具

• 批准号: 0916763
• 负责人: Yaling Yang
• 金额: $ 42.41万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-15 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0916763&HistoricalAwards=false
• 关键词: NetSE; Cross; domain; Design; Tools

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). This project will develop a novel tool, named Sunshine, to effectively support joint evaluation and design of sensor network (sensornet) hardware and software. Intellectual Merit: A critical roadblock to the success of sensornets is the prohibitively slow and energy-wise impractical software implementations of many important applications. On the other hand, specialized hardware implementation can outperform, energy-wise as well as performance-wise, equivalent software implementations by orders of magnitude. Hence, the joint software-and-hardware design of sensornet applications is a very appealing, yet unexplored, approach. The objective of this project is to develop an effective tool, named Sunshine, to support such codesign. This project may fundamentally transform the relationship between the hardware and software communities of sensornet research. These communities can use Sunshine to efficiently exchange mutual requirements and spread the latest technology advances in each other's fields. Such evolutionary change will greatly improve the state-of-the-art in sensornet technology. Novel hardware architecture and platforms that are unexplored in current designs can be created and tested through Sunshine's cross-domain design environment. Broader Impact: Serving as a valuable education tool, Sunshine will also foster the continued integration of research and education at the PIs' institution and benefit curriculum at other institutions. Sunshine can serve as the foundation for lab experiments and course projects in networking and embedded system engineering. Sunshine also offers the opportunity for innovative cross-domain education.

该奖项是根据2009年《美国复苏与再投资法》（公法111-5）资助的。 该项目将开发一种名为Sunshine的新颖工具，以有效地支持传感器网络（SensOrnet）硬件和软件的联合评估和设计。 智力优点：SensOrnets成功的关键障碍是许多重要应用程序的慢速和能量不切实际的软件实现。另一方面，专业的硬件实现可以胜过能量，以及在性能，等效软件按数量级实现。因此，SensOrnet应用程序的联合软件和硬件设计是一种非常吸引人但尚未探索的方法。该项目的目的是开发一个名为Sunshine的有效工具，以支持该代码。该项目可能从根本上改变了SensOrnet研究的硬件和软件社区之间的关系。 这些社区可以利用阳光来有效交换相互要求，并在彼此的领域中传播最新的技术进步。 这种进化变化将大大改善SensOrnet技术的最新作用。 可以通过Sunshine的跨域设计环境来创建和测试当前设计中未探索的新型硬件架构和平台。更广泛的影响：作为一种宝贵的教育工具，Sunshine还将促进PIS机构的研究和教育的持续整合，并在其他机构中受益。阳光可以作为实验室实验和嵌入式系统工程的实验实验和课程项目的基础。阳光还为创新的跨域教育提供了机会。