CPS: Small: Trajectory-Based Cyber-Physical Networks: Theoretical Foundation and a Practical Implementation

许多新兴的赛博物理系统都是由大量的移动的智能体组成的。在这些系统中，每个智能体沿着通常不是预先确定的轨迹行进。在任何时间间隔，新的代理可能会出现在系统中，一些现有的代理可能会消失。另外，这些代理通常能够使用无线通信来彼此通信或与外部站通信。我们将这些系统称为基于轨迹的网络物理网络（Trajectory-Based Cyber-Physical Networks，TCN）。这种系统的例子很多，从未来几代的无人机系统（UAS）到部署在某个区域执行灾难恢复等任务的人类或机器人代理网络。本研究的目标是（1）开发一个统一的理论，称为“轨迹过程理论”的TCN，和（2）设计，实现和测试两个特定的现实生活中的TCN的基础上提出的理论。这项研究有两个主要的推力：推力1建立了轨迹过程理论的基础。推力2将该理论应用于UAS技术，特别是空中基站和无人机交付系统。这项研究汇集了概率论，随机几何，无线网络和运输工程的概念。拟议的研究可以直接影响重要的新兴真实的生命系统，如无人机的设计。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Many emerging cyber physical systems are composed of a large number of mobile intelligent agents. In these systems, each agent travels along a trajectory that is often not pre-determined. At any time interval, new agents might appear in the system, and some existing agents might disappear. Additionally, these agents are normally capable of communicating with each other or outside stations using wireless communications. We refer to these systems as Trajectory-Based Cyber-Physical Networks (TCN). Examples of such systems are abundant and range from future generations of Unmanned Aircraft Systems (UAS) to networks of human or robot agents that are deployed in an area to perform missions such as disaster recovery. The goal of this research is (1) to develop a unifying theory called "Trajectory Process Theory" for TCNs, and (2) to design, implement, and test two specific real-life TCNs based on the proposed theory. This research has two main thrusts: Thrust 1 builds the foundations of Trajectory Process Theory. Thrust 2 applies the theory to UAS technologies, specifically aerial base stations and unmanned aircraft delivery systems. This research brings together concepts from probability theory, stochastic geometry, wireless networks, and transportation engineering. The proposed research can directly impact the design of important emerging real life systems such as UASs. Educational and outreach activities including workshops for underrepresented groups as well as creating open educational content are undertaken.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.