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: San Diego State University Foundation
• 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
• 起止时间: 2021-02-15 至 2026-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2048266&HistoricalAwards=false
• 关键词: CAREER; Towards; Networked; Airborne; Computing

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.

网络化机载计算是一种新的计算范式，它依靠飞行器通过直接的飞行通信链路形成的机载网络来实现空中计算。它不仅可以有益于广泛的现有应用（例如，无人机表演、精确农业和紧急响应），而且还产生了各种新的应用（例如，下一代空中交通管制、物联网和实时三维地图）。尽管有令人兴奋的应用，使网络化的机载计算需要克服许多艰巨的挑战，如三维节点的移动性，高度不确定的操作环境和严格的安全要求。该项目旨在开发一个创新的理论框架，克服这些挑战，使网络机载计算。与传统的移动的计算系统将移动性、不确定性和通信作为计算的约束不同，该框架利用它们的优点，在不确定、动态和异构的空域中实现鲁棒、高效和可扩展的计算。该框架具有快速响应、对不确定干扰和故障的恢复能力、可扩展性以及对系统和环境变化的适应性等特点，将推动基于移动的计算的基础计算机和网络系统（CNS）科学和工程的发展，并产生与基于无人系统的应用相关的更广泛的民用和经济影响。该项目的研究成果也将有助于分布式计算，随机最优控制，网络，不确定性下的实时决策和实验设计等领域。创新的教育和外联活动（例如，虚拟实验室模块、夏令营和实习）将对社区产生深远的影响，并使圣地亚哥县及其他地区不同层次的学生，特别是代表性不足的少数民族学生受益匪浅。拟议的传播活动（例如，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。

项目成果

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

Joint Task Scheduling, Routing, and Charging for Multi-UAV Based Mobile Edge Computing

• DOI: 10.1109/icc45855.2022.9839040
• 发表时间: 2022-05
• 期刊: ICC 2022 - IEEE International Conference on Communications
• 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
• 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
• 作者: Zhang, Jinran;Wang, Baoqian;Wang, Dong;Fu, Shengli;Lu, Kejie;Wan, Yan;Xie, Junfei
• 通讯作者: Xie, Junfei

DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors

• DOI: 10.1109/iros47612.2022.9981441
• 发表时间: 2022-02
• 期刊: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
• 作者: Baoqian Wang;Junfei Xie;Nikolay A. Atanasov