Collaborative Research: Research Infrastructure: CCRI: ENS: Enhanced Open Networked Airborne Computing Platform

该项目旨在开发一个增强的开放式网络机载计算平台，以促进机载计算平台的设计，实现和测试，无缝集成控制，计算，通信和网络。该项目将提供基于飞轮模型的社区支持，并通过来自全国四个区域站点的有组织支持、实践研讨会、试验台访问和技术用户服务来吸引和吸引社区用户。其智力价值在于一组新的增强功能，以促进更先进的研究和机载计算的应用。具体而言，拟议的基础设施在四个主要方面得到加强。首先，硬件/中间件更新，以促进分布式控制，其中包括相控阵天线，下一代移动的系统，和机器人操作系统（ROS）2。第二，通信和网络的增强，包括软件定义无线电（SDR）、长期演进（LTE）和软件定义网络（SDN）。第三，增强机载计算服务，包括目标识别和跟踪服务、移动的边缘计算（MEC）服务和机载LiDAR（光探测和测距）数据处理服务。最后，整合安全功能，包括开发安全和隐私保护的联合学习平台，以及集成安全软件包以满足基本和高级安全要求，例如机密性、完整性、身份验证和安全计算。该合作项目汇集了来自北德克萨斯大学（UNT）、德克萨斯大学阿灵顿分校（UTA）、圣地亚哥州立大学和马亚圭斯的波多黎各大学。所有四所参与大学都是少数民族服务（UPRM）或西班牙裔服务（UTA，UNT和SDSU）机构，拥有大量代表性不足的少数民族学生。该项目将通过K-12活动接触当地社区，并通过组织学生设计比赛，教程和研讨会，参与国家示范工作以及吸引专业人士来进行广泛传播。拟议的教育和外联活动将对广大社区产生深远影响，并使大量代表性不足的少数群体学生受益。拟议的增强型开放式网络机载计算平台项目将满足CISE社区许多研究人员的设计和评估需求，并使应急、能源、环境和交通部门的广泛应用受益。项目网站https://utari.uta.edu/research/airborne/将成为访问详细设计文档、硬件和软件工具、教程、数据集、培训材料、会议和研讨会的门户，和其他项目相关的材料，以扩大更广泛的社区的研究能力，在项目期间和超越跨度。这个奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的知识价值和更广泛的影响审查标准的支持。

The project aims to develop an enhanced open networked airborne computing platform to facilitate the design, implementation, and testing of an airborne computing platform that seamlessly integrates control, computing, communication, and networking. The project will provide community support based on the flywheel model, and to attract and engage community users through organized support from four regional sites in the nation, hands-on workshops, testbed access, and technical user services. The intellectual merit lies in a new set of enhancements to facilitate more advanced research and applications of airborne computing. Specifically, the proposed infrastructure is enhanced in four major areas. First, hardware/middle-ware update to facilitate distributed control, which includes phased array antennas, next generation of mobile system, and Robot Operating System (ROS) 2. Second, enhancement of communication and networking, which include software-defined radio (SDR), long-term evolution (LTE), and software-defined networking (SDN). Third, enhancement of airborne computing services, which include the target recognition and tracking service, mobile edge computing (MEC) service, and airborne LiDAR (Light Detection and Ranging) data processing service. Last, the incorporation of security features, which include the development of a secure and privacy-preserving federated learning platform and integration of security packages to fulfill essential and advanced security requirements, such as confidentiality, integrity, authentication, and secure computation.This collaborative project brings together investigators from the University of North Texas (UNT), the University of Texas at Arlington (UTA), San Diego State University (SDSU), and the University of Puerto Rico at Mayaguez (UPRM). All four participating universities are minority-serving (UPRM) or Hispanic-serving (UTA, UNT, and SDSU) institutions with a large number of underrepresented minority students. The project will reach out to local communities through K-12 activities, and also pursue broad dissemination through organizing student design competitions, tutorials, and workshops, participating in national demonstration efforts, and engaging domain professionals. The proposed education and outreach activities will produce a profound impact on broad communities and benefit a large number of underrepresented minority students. The proposed project on enhanced open networked airborne computing platform will address the design and evaluation needs of many researchers in the CISE community and benefit a wide range of applications in the emergency, energy, environment, and transportation sectors.The project website https://utari.uta.edu/research/airborne/ will be the portal to access detailed design documents, hardware and software tools, tutorial, datasets, training materials, conferences and workshops, and other project-related materials to extend the research capabilities of the broader community during and beyond the project span.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.