CPS: Small: Statistical Performance Analysis and Resource Management for Cyber-Physical Internet of Things Systems

实现无处不在的物联网（IoT）的愿景，将赋予无数的物理对象，包括传感器，可穿戴设备，普通物体和联网车辆，具有网络功能，这取决于有效地管理其网络和物理领域的相互交织的协同作用。该项目的总体目标是开发一种新的网络物理系统（CPS）科学，可以将物联网作为一个完全成熟的CPS进行有效的建模，优化和管理。反过来，发展这门科学将促进物联网及其众多服务的部署，从智能医疗保健到智能建筑和智能交通，从而产生广泛的社会影响。实现物联网还将加快城市和社区向真正智能环境的转型，从而提高居民的生活质量。拟议的研究与一项教育计划相结合，该计划包括研究生和本科生大量参与交叉CPS研究，以及针对代表性不足群体的当地高中生的以物联网为中心的外联活动。这种研究和教育的协同整合将有助于培养一支具备在新兴物联网领域工作所需的CPS技能的新劳动力。拟议的研究将为物联网的建模和性能分析开发一个基础框架，这将促进能源和计算等资源的管理，共同跨越其网络和物理领域。通过利用来自随机几何、分布式优化和运筹学的跨学科工具，所提出的框架将产生许多结果，包括用于表征物联网的网络物理操作的新统计模型和CPS性能指标，以及将使物联网设备的网络物理操作状态适应CPS环境动态的新型分布式优化算法，同时认识到它们的严格资源限制。所开发的理论将使用广泛的模拟以及基本实验进行验证。随后的成果预计将产生一个全新的CPS科学，将改变物联网建模，分析和优化的方式。这项研究的基础性质将进一步确保其影响将跨越多个CPS领域，从能源到交通和医疗保健。

Realizing the vision of pervasive Internet of Things (IoT) that will endow a myriad of physical objects that include sensors, wearables, mundane objects, and connected vehicles, with cyber capabilities, is contingent upon effectively managing the interwoven synergies across its cyber and physical realms. The overarching goal of this project is to develop a novel cyber-physical system (CPS) science that can enable effective modeling, optimization, and management of the IoT as a fully-fledged CPS. Developing this science will, in turn, catalyze the deployment of the IoT and its numerous services that range from smart healthcare, to smart buildings and intelligent transportation, thus having a broad societal impact. Enabling the IoT will also expedite the transformation of cities and communities, into truly smart environments thus enhancing the quality of life of their residents. The proposed research is coupled with an educational plan that includes substantial involvement of graduate and undergraduate students in cross-cutting CPS research, as well as IoT-centric outreach activities targeted at local high school students from the under-represented groups. This synergistic integration of research and education will contribute to training a new workforce that is equipped with the necessary CPS skills needed to work in the emerging IoT domains.The proposed research will develop a foundational framework for the modeling and performance analysis of the IoT that will facilitate the management of resources, such as energy and computation, jointly across its cyber and physical realms. By leveraging interdisciplinary tools from stochastic geometry, distributed optimization, and operations research, the proposed framework will yield a number of results that include new statistical models and CPS performance metrics for characterizing the cyber-physical operation of IoT as well as novel distributed optimization algorithms that will adapt the cyber-physical operational state of the IoT devices to the dynamics of the CPS environment, while being cognizant of their stringent resource constraints. The developed theory will be validated using extensive simulations as well as basic experiments. The ensuing outcomes are expected to yield a fundamentally new CPS science that will transform the way in which the IoT is modeled, analyzed, and optimized. The foundational nature of this research will further ensure that its impacts will cut across multiple CPS domains, ranging from energy to transportation and healthcare.