CAREER: Foundations for Flow-based Cyber-Physical Systems

智能优势：纳米结构制造，传感和无线网络的最新发展，将很快使我们能够部署基于流的网络物理系统，配备传感和驱动功能，用于广泛的应用。其中一些应用将是安全关键的，包括水分配监测（即，关键的国家基础设施系统特别容易受到各种攻击，包括致命制剂的污染）和介入医学（即，医学分支，其利用通过小切口引入活体的微小装置来检测和治疗疾病）。该项目的目标是通过一个强大的数学框架，推进我们对基于流的网络物理系统的新兴领域的基本理解。该项目开发新的架构，模型，指标，算法和协议，用于按需部署的基于流的网络物理系统中的最佳传感，通信和驱动（即，当需要感测和致动时反应地）或主动地。基于流的网络物理系统由移动的传感器节点和能够感知自身位置的静态节点组成。对于严格的要求（例如，形状因数、成本、能量预算）节点可以具有或不具有节点到节点通信能力。由于缺乏定位基础设施，移动的传感器节点只能通过与静态节点的接近程度来推断其位置。传感器节点在网络中随流移动，检测感兴趣的事件和接近静态节点，进行通信和致动。例如，这项研究将使配水监测系统能够准确和及时地检测基础设施中的相关事件，并对这些事件作出反应。更广泛的影响：最终，这项研究的结果将对在关键模式和环境中运行并控制关键基础设施和医疗应用的CPS产生影响。这项研究的结果也可能促进CPS应用的新研究方向。PI将把研究结果整合到德克萨斯州A M新批准的CPS课程中，并通过项目网站和莱斯大学连接联盟在线传播课程材料。该项目还将为本科生，代表性不足的群体和参加德克萨斯州科学奥林匹克竞赛和国家科学奥林匹克竞赛的高中生提供研究机会。

Intellectual Merit:Recent developments in nanostructures manufacturing, sensing and wireless networking, will soon enable us to deploy Flow-based Cyber-Physical Systems equipped with sensing and actuation capabilities for a broad range of applications. Some of these applications will be safety critical, including water distribution monitoring (i.e., critical national infrastructure systems particularly vulnerable to a variety of attacks, including contamination with deadly agents) and interventional medicine (i.e., a medical branch that makes use of tiny devices introduced in a living body through small incisions, to detect and treat diseases). The goal of this project is to advance our fundamental understanding, through a robust mathematical framework, of emerging field of Flow-based Cyber-Physical System. The project develops new architectures, models, metrics, algorithms and protocols for optimal sensing, communication and actuation in Flow-based Cyber-Physical System deployed on-demand (i.e., reactively, when sensing and actuation is needed) or proactively. Flow-based Cyber Physical Systems consist of mobile sensor nodes and static nodes, aware of their location. For stringent requirements (e.g., form factor, cost, energy budget) nodes may or may not possess node-to-node communication capabilities. Due to the lack of localization infrastructure, mobile sensor nodes infer their location only by proximity to static nodes. Sensor nodes are moved by the flow in the network, detect events of interest and proximity to static nodes, communicate and actuate. This research will enable, for example, water distribution monitoring systems to accurately and timely detect events of interest in the infrastructure and to react to these events. It may enable doctors to detect diseases and deliver medication with microscopic precision.Broader Impacts: Ultimately, the outcomes of this research will have impact on CPS that operate in critical modes and environments and control critical infrastructures and medical applications. The results from this research may also foster new research directions in CPS applications. The PI will integrate the research results in newly approved courses on CPS at Texas A&M and disseminate course materials online through the project website and Rice University Connections Consortium. This project will also offer research opportunities to undergraduate students, underrepresented groups, and high school students participating in the Texas Science Olympiad and National Science Olympiad.