CRI/II-New: Dallas-ARea Testbed for Context-Aware, Cognitive Research (DART-CARs)

CRI/II-新：达拉斯地区情景感知、认知研究测试台 (DART-CAR)

• 批准号: 0958436
• 负责人: Joseph Camp
• 金额: $ 53.5万
• 依托单位: Southern Methodist University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-03-01 至 2014-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0958436&HistoricalAwards=false
• 关键词: CRI; II; New; Dallas; ARea

Wireless system performance is known to be highly dependent upon the characteristics of the environment. Despite the increasing ability of wireless devices to sense their surroundings, wireless systems have yet to fully leverage contextual data to improve performance. To this end, the Dallas-ARea Testbed for Context-Aware, Cognitive Research (DART-CARs) allows the study of wireless performance in a broad class of mobile and static environments from indoor labs to outdoor high-way speeds within a single testbed. Our hardware platform functions across many different wireless bands to enable real-time, multi-band operation. Such a first-of-its-kind infrastructure is critical for designing context-aware and cognitive algorithms that utilize multiple frequency bands to adapt to dynamic environmental settings. Our project has three major initiatives:-Deploy a wireless research testbed to enable study across a vast array of urban environments -Design multi-band wireless hardware and reconfigurable embedded software tools that enable context-driven, cognitive switching across frequency bands to improve performance in the aforementioned environments-Develop an open-access data repository of wireless performance in multiple urban scenarios and across frequency bandsThe project incorporates topics across disciplines such as wireless theory, embedded programming, hardware design, and ubiquitous computing. Student involvement in courses and research will allow cross-disciplinary intellectual growth. Further, field measurements will be made available to the research community. Finally, handheld mobile devices are increasingly being used as the primary method for under-represented groups to access the Internet. This infrastructure and resulting research will improve the performance these devices.

众所周知，无线系统性能高度依赖于环境特征。 尽管无线设备感知周围环境的能力不断增强，但无线系统尚未充分利用上下文数据来提高性能。为此，达拉斯地区情景感知认知研究测试台 (DART-CAR) 允许在单个测试台内研究从室内实验室到室外高速速度的各种移动和静态环境中的无线性能。我们的硬件平台可跨许多不同的无线频段运行，以实现实时、多频段操作。这种首创的基础设施对于设计利用多个频段来适应动态环境设置的上下文感知和认知算法至关重要。我们的项目有三项主要举措： - 部署无线研究测试台，以支持在广泛的城市环境中进行研究 - 设计多频段无线硬件和可重新配置的嵌入式软件工具，以实现跨频段的上下文驱动的认知切换，以提高性能上述环境——开发多个城市场景和跨频段无线性能的开放访问数据存储库。该项目融合了无线理论、嵌入式编程、硬件设计和普适计算等跨学科主题。 学生参与课程和研究将促进跨学科的智力发展。 此外，现场测量结果将提供给研究界。 最后，手持移动设备越来越多地被用作代表性不足的群体访问互联网的主要方法。 该基础设施和由此产生的研究将提高这些设备的性能。