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

众所周知，无线系统的性能高度依赖于环境的特性。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床(DART-CARS)允许在单个测试床内对从室内实验室到室外高速行驶的各种移动和静态环境中的无线性能进行研究。我们的硬件平台可跨多个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情景感知和认知算法至关重要。我们的项目有三个主要举措：-部署无线研究试验台，以便能够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，支持上下文驱动的跨频段认知切换，以提高在上述环境中的性能-开发一个开放访问的无线性能数据库，了解多个城市场景和跨频段的无线性能。该项目涉及无线理论、嵌入式编程、硬件设计和无处不在计算等多个学科。学生参与课程和研究将允许跨学科的智力增长。此外，将向研究界提供实地测量结果。最后，手持移动设备越来越多地被用作代表不足的群体访问互联网的主要方法。这种基础设施和由此产生的研究将提高这些设备的性能。

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.