CI-New: Collaborative Research: Developing an Open Networked Airborne Computing Platform

CI-New：协作研究：开发开放式网络机载计算平台

• 批准号: 1730570
• 负责人: Shengli Fu
• 金额: $ 24.23万
• 依托单位: University of North Texas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1730570&HistoricalAwards=false
• 关键词: CI; New; Collaborative; Research; Developing

Networked airborne computing is a novel computing paradigm that can benefit many important civilian applications, including intelligent transportation, emergency response, infrastructure monitoring, precision agriculture, etc. Networked airborne computing also opens up many new fundamental research opportunities. Despite its importance, existing infrastructures for Unmanned Airborne Systems (UAS) research cannot serve the research needs because they are often designed specifically for a single purpose and/or oriented to missions that involve a single aircraft. Therefore, an open networked airborne computing infrastructure is critically needed to enable the Computer and Information Science and Engineering (CISE) communities and beyond to participate in new research and development in this burgeoning field. This project is expected to produce broad impact related to cooperative multi-UAS applications in emergency, energy, environment, and transportation sectors. This project also provides Science, Technology, Engineering and Mathematics learning opportunities, and expands underrepresented minority participation. Three of the participating universities are minority-serving and/or Hispanic serving institutions with a large number of underrepresented minority students. The objective of this project is to develop a new community infrastructure to enable advanced research on networked airborne computing systems. Specifically, the proposed community infrastructure will provide hardware/software designs and development tools, workshop and training opportunities, and field-test support in a Federal Aviation Administration-designated test site. The proposed airborne computing platform is innovative in that it includes a UAS-mounted generic and interactive computing system, a broadband wireless communication system, a UAS/antenna cooperative control system, and up-to-down application development capabilities to support a full-scale development. Both hardware and software are open-sourced and designed in modules with virtualization support so that CISE researchers can easily enhance or replace modules and instantiate additional virtualized functions to facilitate various research and development activities for networked airborne computing applications and services. The modular design, flexibility and extensibility for new development allow researchers to easily isolate and develop specific components of their own research focus while relying on the basic functionality of other components, thus saving significant cost and time for learning and development. The project opens up opportunities for CISE researchers to quickly develop and test solutions that address many new fundamental challenges in networked airborne computing, and to significantly advance cross-cutting research and development in computing, communication, control, and aerospace.

网络机载计算是一种新颖的计算范式，可以使许多重要的平民应用受益，包括智能运输，紧急响应，基础设施监测，精确农业等。网络机载计算也为许多新的基本研究机会开放。尽管它很重要，但现有的无人空降系统（UAS）研究的基础设施不能满足研究需求，因为它们通常是专门为单一目的而设计和/或针对涉及单个飞机的任务的。因此，需要一个开放的网络机载计算基础设施，以使计算机和信息科学与工程（CISE）社区及其他地区能够参与这个新兴领域的新研发。预计该项目将在紧急，能源，环境和运输部门中与合作社多UAS应用产生广泛的影响。该项目还提供科学，技术，工程和数学学习机会，并扩大了代表性不足的少数参与。参与的三所大学是少数派服务和/或西班牙裔服务机构，其中有大量代表性不足的少数群体学生。该项目的目的是开发一个新的社区基础设施，以实现对网络空降计算系统的高级研究。具体而言，拟议的社区基础设施将提供硬件/软件设计和开发工具，研讨会和培训机会以及联邦航空管理指定的测试网站的现场测试支持。拟议的机载计算平台具有创新性，因为它包括UAS安装的通用和交互式计算系统，宽带无线通信系统，UAS/天线合作控制系统以及最新的应用程序开发功能，以支持全尺度开发。硬件和软件都是开源的，并在具有虚拟化支持的模块中设计，因此CISE研究人员可以轻松增强或替换模块并实例化其他虚拟化功能，以促进与网络机载计算应用程序和服务的各种研究和开发活动。新开发发展的模块化设计，灵活性和可扩展性使研究人员可以在依靠其他组件的基本功能的同时轻松隔离和开发自己的研究重点的特定组成部分，从而节省了大量的学习和发展成本和时间。该项目为CISE研究人员提供了快速开发和测试解决方案的机会，这些解决方案解决了网络机载计算中许多新的基本挑战，并显着提高了计算，通信，控制，控制和航空航天中的跨记录研究和开发。

项目成果

An Adaptive BLAST Successive Interference Cancellation Method for High Data Rate Perfect Space-Time Coded MIMO Systems

• DOI: 10.1109/tvt.2019.2954207
• 发表时间: 2020-02
• 期刊: IEEE Transactions on Vehicular Technology
• 影响因子: 6.8
• 作者: Mitchell J. Grabner;Xinrong Li;Shengli Fu

CFL-HC: A Coded Federated Learning Framework for Heterogeneous Computing Scenarios

CFL-HC：异构计算场景的编码联邦学习框架

• DOI: 10.1109/globecom46510.2021.9685962
• 发表时间: 2021
• 期刊: 2021 IEEE Global Communications Conference (GLOBECOM
• 作者: Wang, Dong;Wang, Baoqian;Zhang, Jinran;Lu, Kejie;Xie, Junfei;Wan, Yan;Fu, Shengli
• 通讯作者: Fu, Shengli

On Batch-Processing Based Coded Computing for Heterogeneous Distributed Computing Systems

• DOI: 10.1109/tnse.2021.3095040
• 发表时间: 2019-12
• 期刊: IEEE Transactions on Network Science and Engineering
• 影响因子: 6.6
• 作者: Baoqian Wang;Junfei Xie;K. Lu;Yan Wan;Shengli Fu

Toward UAV-Based Airborne Computing

• DOI: 10.1109/mwc.2019.1900025
• 发表时间: 2019-08
• 期刊: IEEE Wireless Communications
• 影响因子: 12.9
• 作者: K. Lu;Junfei Xie;Yan Wan;Shengli Fu

Learning and Batch-Processing Based Coded Computation With Mobility Awareness for Networked Airborne Computing

• DOI: 10.1109/tvt.2022.3231179
• 发表时间: 2023-05
• 期刊: IEEE Transactions on Vehicular Technology
• 影响因子: 6.8
• 作者: Baoqian Wang;Junfei Xie;K. Lu;Yan Wan;Shengli Fu