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CAREER: Towards Networked Airborne Computing in Uncertain Airspace: A Control and Networking Facilitated Distributed Computing Framework

CAREER: Towards Networked Airborne Computing in Uncertain Airspace: A Control and Networking Facilitated Distributed Computing Framework
职业:走向不确定空域的网络机载计算:控制和网络促进的分布式计算框架
批准号:
2048266
负责人:
Junfei Xie
金额:
$55.67万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-02-15 至 2026-01-31

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中文摘要
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英文摘要
Networked airborne computing is a new computing paradigm that relies on the airborne network formed by aerial vehicles with direct flight-to-flight communication links to achieve computing in the air. It can not only benefit a wide range of existing applications (e.g., drone show, precision agriculture and emergence response), but also give rise to a variety of new applications (e.g., next-generation air traffic control, Internet of Things and real-time 3-dimensional mapping). Despite the exciting applications, enabling networked airborne computing requires overcoming many formidable challenges such as 3-dimensional node mobility, highly uncertain operating environment and strict safety requirements. This project aims to develop an innovative theoretical framework that conquers these challenges to enable networked airborne computing. Unlike traditional mobile computing systems that treat mobility, uncertainty and communication as constraints for computing, the proposed framework exploits their benefits to facilitate robust, efficient and scalable computing in the uncertain, dynamic and heterogeneous airspace. The proposed framework, featured by fast response, resilience to uncertain disturbances and failures, scalability, and adaptivity to system and environmental changes, will advance the fundamental Computer and Network Systems (CNS) science and engineering on mobile computing and produce broader civilian and economic impacts related to unmanned systems based applications. The findings of this project will also contribute to fields such as distributed computing, stochastic optimal control, networking, real-time decision-making under uncertainty and experiment design. Innovative education and outreach activities (e.g., virtual lab modules, summer camps and internships) will produce a profound impact on the community and significantly benefit students, especially underrepresented minorities, at different levels in San Diego county and beyond. The proposed dissemination activities (e.g., workshops and tutorials) will further broaden the impact of the proposed research and benefit the general public.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.
期刊论文(16)
专著(0)
科研奖励(0)
会议论文
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]
通讯作者: Baoqian Wang;Junfei Xie;K. Lu;Yan Wan;Shengli Fu
DOI: 10.1109/icc45855.2022.9839040
发表时间: 2022-05
期刊: ICC 2022 - IEEE International Conference on Communications
影响因子: --
作者: [Jun Chen;Junfei Xie]
通讯作者: Jun Chen;Junfei Xie
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
影响因子: --
作者: [Wang, Dong, Wang, Baoqian, Zhang, Jinran, Lu, Kejie, Xie, Junfei, Wan, Yan, Fu, Shengli]
通讯作者: Fu, Shengli
An SDR-based LTE System for Unmanned Aerial Systems
用于无人机系统的基于 SDR 的 LTE 系统
DOI: 10.1109/icuas54217.2022.9836117
发表时间: 2022
期刊: 2022 International Conference on Unmanned Aircraft Systems (ICUAS
影响因子: --
作者: [Zhang, Jinran, Wang, Baoqian, Wang, Dong, Fu, Shengli, Lu, Kejie, Wan, Yan, Xie, Junfei]
通讯作者: Xie, Junfei
16
    Collaborative Research: Research Infrastructure: CCRI: ENS: Enhanced Open Networked Airborne Computing Platform
    EAGER: Real-Time: Collaborative Research: Unified Theory of Model-based and Data-driven Real-time Optimization and Control for Uncertain Networked Systems
    CI-New: Collaborative Research: Developing an Open Networked Airborne Computing Platform
    EAGER: Real-Time: Collaborative Research: Unified Theory of Model-based and Data-driven Real-time Optimization and Control for Uncertain Networked Systems
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