NeTS: Small: RUI: Dynamic Indoor Location Computing and Benchmarking

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。室内位置计算的问题尚未完全解决。它们仍然构成严重的挑战，并涉及尚未充分了解的现象。对于完全可扩展和可负担的系统，确实存在相当大的距离，该系统可使用现有技术（诸如IEEE 802.11）容易地部署，并且能够为室内移动的计算提供准确的位置信息。该项目正在开发现实的无线电传播模型和自适应信号定位地图，特别是适应不同的建筑环境，从而产生强大的和有竞争力的定位技术。该研究团队正在研究一个创新的方向，以开发一个基准标准，以捕捉和分类关键的环境和系统因素，并提供性能界限以及室内研究的可重复测试台。 研究的关键是量化各种环境下的无线电信号测量误差。这是通过测量数据包在科学和技术建设的二楼，在USCB的学生校园中心的新建筑的改造过程中，并通过模拟发射机和接收机之间的各种分区。该项目将室内位置确定系统从高成本，劳动密集型，不精确和静态技术转变为负担得起的，自动化，准确和动态系统。该项目应对理论和系统挑战，并将实现ARIADNE室内系统的实际部署。此外，这个令人兴奋的项目将有助于吸引，教育和留住有才华的本科生，并激励他们接受更高的学习。

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).The problems of indoor location computing are not yet fully solved. They still present serious challenges and involve phenomena not yet fully understood. There is indeed a considerable distance toward a fully scalable and affordable system that is readily deployable using existing technologies (such as IEEE 802.11), and is able to provide accurate location information for indoor mobile computing. This project is developing realistic radio propagation models and adaptive signal-location maps particularly adapted to different building environments leading to robust and competitive techniques for location determination. The research team is investigating an innovative direction to develop a benchmark standard in order to capture and classify critical environmental and system factors and to provide performance bounds as well as reproducible test-beds for indoor research. The key of the research is to quantify radio signal measurement inaccuracy under various environments. This is achieved by measuring packets during the remodeling process of the second floor of the Science and Technology building, the new construction of the Student Campus Center at USCB, and by simulating various partitions between the transmitter and the receiver. This project transforms indoor location determination systems from high cost, labor intensive, imprecise, and static technologies to an affordable, automated, accurate, and dynamic system. This project attacks theoretical and systems challenges and will enable practical deployment of the ARIADNE indoor system. Moreover, this exciting project will help attract, educate and retain talented undergraduate students and also motivate them for higher studies.