Integrated Sensing: Virtual Sensor-Actuator Arrays

本项目涉及大规模无线传感器和执行器阵列中应用软件与实时数据之间的接口。目标是发展创建虚拟传感器-执行器阵列（VSAA）的理论和算法，使应用算法能够避免处理物理传感器-执行器阵列不断变化的特征。使用VSAA，可以编写特定于应用程序的软件，就好像传感和驱动设备位于应用程序设计模型中假设的位置一样，并且除了以近乎最佳的方式进行过滤和集成之外，还可以使用适当的时间戳接收信息。该项目将以分布式系统智能数据集成的最新研究为基础。原始数据将以概率分布的形式作为软决策进行传递和操作。来自多个源的信息将使用基于源之间信息关系的图形表示的新算法进行集成，并且将开发用于在节点之间共享和移动计算的信息理论技术，以便在面对间歇性通信和节点故障时性能不会显着降低。在这个项目中开发的算法将被评估为智能建筑控制应用，在智能工作场所的无线传感器-执行器阵列中使用，这是卡内基梅隆大学现有的实验设施。

This project concerns the interface between application software and the real-time data in large-scale arrays of wireless sensors and actuators. The objective is to develop the theory and algorithms for creating a virtual sensor-actuator array (VSAA) that will make it possible for application algorithms to avoid dealing with the continually changing features of physical sensor-actuator arrays. Using the VSAA, application-specific software can be written as if the sensing and actuating devices are located as assumed in the application design model, and that information is received with appropriate time stamps, in addition to being filtered and integrated in a near optimal manner. This project will build on recent research in intelligent data integration for distributed systems. Raw data will be delivered and manipulated as soft decisions in the form of probability distributions. Information from multiple sources will be integrated using novel algorithms based on graphical representations of the information relationships among the sources, and information-theoretic techniques will be developed for sharing and moving the computations among the nodes so that performance does not degrade significantly in the face of intermittent communication and node failures. The algorithms developed in this project will be evaluated for intelligent building control applications using in a wireless sensor-actuator array in the Intelligent Workplace, an existing experimental facility at Carnegie Mellon University.