Collaborative Research:CISE-MSI:DP:CNS:Enabling On-Demand and Flexible Mobile Edge Computing with Integrated Aerial-Ground Vehicles

合作研究:CISE-MSI:DP:CNS:通过集成空地车辆实现按需且灵活的移动边缘计算

基本信息

  • 批准号:
    2318664
  • 负责人:
  • 金额:
    $ 20万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-10-01 至 2026-09-30
  • 项目状态:
    未结题

项目摘要

The rapid proliferation of mobile and Internet-of-Things devices has revolutionized various aspects of our lives. However, the enormous amount of data generated by these devices poses significant challenges for wireless-communication infrastructure, which has limited radio spectrum. Additionally, many emerging applications require low-latency and computation-intensive processing, making the traditional cloud-centric approach inadequate. To address these challenges, this project proposes an innovative solution called Aerial-Ground Intelligent vehicular Edge (AGILE) which leverages the capabilities of aerial and ground vehicles with artificial-intelligence-processing capabilities to create an on-demand, flexible, and cost-effective mobile-edge-computing (MEC) system. AGILE aims to provide ubiquitous and low-latency computing services to support massive connected devices and enable efficient data processing.The project focuses on designing the AGILE architecture, which integrates aerial and ground vehicles into a 3D network for intelligent MEC service provisioning. Firstly, the research investigates collaborative training schemes between unmanned aerial vehicles (UAVs) and ground vehicles to enable fast and energy-efficient federated learning for intelligent MEC services. Secondly, the project addresses the coupling issue of UAV positioning, communication, and computing-resource allocation, optimizing them for on-demand MEC service provisioning. Finally, dynamic UAV movement and resource-reconfiguration schemes are developed to adaptively meet user demand and to achieve flexible MEC service provisioning in the presence of varying ground-vehicle resources. This project will strengthen the existing research collaborations among the three participating minority-serving institutions, while fostering research involvement of African American/Black, Hispanic, and women undergraduate and/or graduate students with the knowledge and skills to contribute to the fields of MEC and artificial intelligence. Those underserved students will benefit from this project through research projects, classroom teaching, and senior-design projects. Such participation will help all institutes in improving underrepresented students' retention rates.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.
移动和物联网设备的迅速普及彻底改变了我们生活的方方面面。然而,这些设备产生的大量数据对无线电频谱有限的无线通信基础设施构成了重大挑战。此外,许多新兴的应用程序需要低延迟和计算密集型处理,这使得传统的以云为中心的方法不够用。为了应对这些挑战,该项目提出了一种名为“空中-地面智能车辆边缘”(AGILE)的创新解决方案,该解决方案利用空中和地面车辆的能力以及人工智能处理能力,创建一个按需、灵活且具有成本效益的移动边缘计算(MEC)系统。AGILE旨在提供无处不在的低延迟计算服务,以支持大量连接设备并实现高效的数据处理。该项目的重点是设计AGILE架构,该架构将空中和地面车辆集成到一个3D网络中,用于智能MEC服务供应。首先,研究了无人机(uav)和地面车辆之间的协同训练方案,以实现智能MEC服务的快速节能联合学习。其次,该项目解决了无人机定位、通信和计算资源分配的耦合问题,优化它们以满足按需提供MEC服务。最后,开发了无人机动态移动和资源重构方案,以自适应满足用户需求,并在不同地面车辆资源存在的情况下实现灵活的MEC服务提供。该项目将加强三所参与的少数族裔服务机构之间现有的研究合作,同时促进非洲裔美国人/黑人、西班牙裔和女性本科生和/或研究生的研究参与,为MEC和人工智能领域的知识和技能做出贡献。那些缺乏服务的学生将通过研究项目、课堂教学和高级设计项目从这个项目中受益。这种参与将有助于所有学院提高代表性不足的学生的保留率。该奖项反映了美国国家科学基金会的法定使命,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

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Miao Pan其他文献

Intelligent machine-type communication and network for 6G system
6G系统智能机器类通信与网络
Service-Oriented Hybrid-Database-Assisted Spectrum Trading: A Blueprint for Furture Licensed Spectrum Sharing
面向服务的混合数据库辅助频谱交易:未来许可频谱共享的蓝图
  • DOI:
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    12.9
  • 作者:
    Xuanheng Li;Haichuan Ding;Miao Pan;Beatriz Lorenzo;Jie Wang;Yuguang Fang
  • 通讯作者:
    Yuguang Fang
Broadband solar absorbers with excellent thermal radiation efficiency based on W–Alsub2/subOsub3/sub stack of cubes
基于 W–Al₂O₃ 立方体堆叠的具有优异热辐射效率的宽带太阳能吸收体
  • DOI:
    10.1016/j.ijthermalsci.2022.107683
  • 发表时间:
    2022-09-01
  • 期刊:
  • 影响因子:
    5.000
  • 作者:
    Feng Qin;Feng Xu;Jiangwei Liu;Pengfei Hu;Zao Yi;Li Liu;Hua Yang;Jianguo Zhang;Miao Pan;Pinghui Wu
  • 通讯作者:
    Pinghui Wu
Generation of a mitochondrial protein compendium in emDictyostelium discoideum/em
在盘基网柄菌中生成线粒体蛋白质纲要
  • DOI:
    10.1016/j.isci.2022.104332
  • 发表时间:
    2022-05-20
  • 期刊:
  • 影响因子:
    4.100
  • 作者:
    Anna V. Freitas;Jake T. Herb;Miao Pan;Yong Chen;Marjan Gucek;Tian Jin;Hong Xu
  • 通讯作者:
    Hong Xu
Four-band tunable narrowband optical absorber built on surface plasmonically patterned square graphene
  • DOI:
    10.1016/j.physleta.2024.130134
  • 发表时间:
    2025-01-15
  • 期刊:
  • 影响因子:
  • 作者:
    Miao Pan;Hao Tang;Jianzhi Su;Bomeng Zhou;Baodian Fan;Quanfa Li;Zhigao Huang;Tianying Wu
  • 通讯作者:
    Tianying Wu

Miao Pan的其他文献

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{{ truncateString('Miao Pan', 18)}}的其他基金

Collaborative Research: CNS Core: Medium: Towards Federated Learning over 5G Mobile Devices: High Efficiency, Low Latency, and Good Privacy
协作研究:CNS 核心:中:迈向 5G 移动设备上的联邦学习:高效率、低延迟和良好的隐私性
  • 批准号:
    2107057
  • 财政年份:
    2021
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
RAPID: Collaborative: Location Privacy Preserving COVID-19 Symptom Map Construction via Mobile Crowdsourcing for Proactive Constrained Resource Allocation
RAPID:协作:通过移动众包构建位置隐私保护 COVID-19 症状图,以实现主动的受限资源分配
  • 批准号:
    2029569
  • 财政年份:
    2020
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
NeTS: Medium: Collaborative Research: Riding the Stress Wave: Integrated Monitoring, Communications, and Networking for Subsea Infrastructure
NeTS:媒介:协作研究:驾驭压力浪潮:海底基础设施的集成监控、通信和网络
  • 批准号:
    1801925
  • 财政年份:
    2018
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
CPS: Synergy: Collaborative Research: DEUS: Distributed, Efficient, Ubiquitous and Secure Data Delivery Using Autonomous Underwater Vehicles
CPS:协同:协作研究:DEUS:使用自主水下航行器进行分布式、高效、无处不在和安全的数据传输
  • 批准号:
    1646607
  • 财政年份:
    2017
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
WiFIUS: Collaborative Research: Ambient Re-Scatter Inspired Machine Type Communication for Heterogeneous IoT Systems
WiFIUS:协作研究:异构物联网系统的环境重新散射启发的机器类型通信
  • 批准号:
    1702850
  • 财政年份:
    2017
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
CAREER: SpecMax: Spectrum Trading and Harvesting Designs for Multi-Hop Communications in Cognitive Radio Networks
职业:SpecMax:认知无线电网络中多跳通信的频谱交易和收集设计
  • 批准号:
    1613661
  • 财政年份:
    2015
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
EARS: Collaborative Research: Cognitive Mesh: Making Cellular Networks More Flexible
EARS:协作研究:认知网格:使蜂窝网络更加灵活
  • 批准号:
    1613682
  • 财政年份:
    2015
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant
CAREER: SpecMax: Spectrum Trading and Harvesting Designs for Multi-Hop Communications in Cognitive Radio Networks
职业:SpecMax:认知无线电网络中多跳通信的频谱交易和收集设计
  • 批准号:
    1350230
  • 财政年份:
    2014
  • 资助金额:
    $ 20万
  • 项目类别:
    Continuing Grant
EARS: Collaborative Research: Cognitive Mesh: Making Cellular Networks More Flexible
EARS:协作研究:认知网格:使蜂窝网络更加灵活
  • 批准号:
    1343361
  • 财政年份:
    2014
  • 资助金额:
    $ 20万
  • 项目类别:
    Standard Grant

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协作研究:CISE:大型:针对静默数据损坏的跨层弹性
  • 批准号:
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协作研究:会议:2023 年 CISE 教育和劳动力 PI 和社区会议
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