Collaborative Research: PPoSS: Planning: S3-IoT: Design and Deployment of Scalable, Secure, and Smart Mission-Critical IoT Systems

协作研究:PPoSS:规划:S3-IoT:可扩展、安全和智能的关键任务物联网系统的设计和部署

基本信息

  • 批准号:
    2028875
  • 负责人:
  • 金额:
    $ 4万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-10-01 至 2024-03-31
  • 项目状态:
    已结题

项目摘要

The growing capabilities of sensing, computing and communication devices are leading to an explosion of Internet of Things (IoT) infrastructures. In the meantime, advances in technologies such as autonomous systems and artificial intelligence promise enormous economic and societal benefits. Naturally, it is desirable to deploy these technologies in IoT infrastructures. However, such deployments present daunting changes for increasingly scaled-up IoT infrastructures in mission-critical applications such as medical, energy, transportation, and industrial-automation systems. These challenges stem from several major aspects in terms of scalability. First, the number of edge devices can be enormous, often in the order of billions, which makes centralized management infeasible. Second, there are multiple layers of heterogeneity. An IoT system can consist of heterogeneous computing subsystems; each subsystem can have heterogeneous computing devices; and each single device can be composed of different kinds of computing components. Third, mission-critical applications have stringent requirements in correctness, resilience, timeliness, security and safety. It is difficult for a large-scale IoT system to satisfy these requirements due to increasing opportunities for adversarial activity.To tackle these challenges, this project aims to develop a cross-layer and full hardware/software stack solution, referred to as the S3-IoT framework, for the design and deployment of scalable, secure, and smart mission-critical IoT systems. The S3-IoT framework will span three different computation layers, including data centers, gateways/aggregators, and edge devices, and cover four research foci, i.e., resource management, security and privacy, computer architecture/systems, and algorithms. In this planning project, an initial version of the S3-IoT framework will be developed. The S3-IoT framework will (i) leverage a layered structure - data centers, gateways/aggregators, and edge devices to accommodate the huge number of edge devices; (ii) develop cross-layer techniques to deal with the heterogeneity among these layers; and (iii) propose hardware and software co-design approaches that embrace the heterogeneity among computing components to improve the performance of all components within an individual layer. The S3-IoT framework will be evaluated by developing simulators with the layered structure as well as a small scale, comprehensive experimental testbed. The success of this planning project will lead to a convincing path to effective deployment of mission-critical IoT systems and infrastructures, particularly in terms of improving resilience to environmental uncertainties, system internal errors and faults, and malicious attacks.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.
感应,计算和通信设备的日益增长的功能导致物联网(IoT)基础架构的爆炸。同时,自主系统和人工智能等技术的进步有望巨大的经济和社会利益。自然,希望将这些技术部署在物联网基础架构中。但是,此类部署对关键任务应用程序(例如医疗,能源,运输和工业自动化系统)中越来越大的IoT基础设施的艰巨变化进行了艰巨的变化。这些挑战源于可扩展性的几个主要方面。首先,边缘设备的数量通常按数十亿美元的顺序,这使集中管理不可行。其次,有多个异质性。物联网系统可以由异质计算子系统组成;每个子系统都可以具有异质计算设备。并且每个设备都可以由不同种类的计算组件组成。第三,关键任务申请在正确性,弹性,及时性,安全性和安全性方面有严格的要求。大规模的物联网系统很难满足这些要求,这是由于增加的对抗性活动的机会。要应对这些挑战,该项目旨在开发跨层和完整的硬件/软件堆栈解决方案,即S3-iot框架,称为S3-iot框架,用于用于设计和部署可扩展,安全和智能的Mission-Mission-Critical-Cricials-Cricials-Cricials-Criginal-timalsigal-Criginal-Iot系统。 S3-iot框架将跨越三个不同的计算层,包括数据中心,网关/聚合器和边缘设备,并涵盖四个研究焦点,即资源管理,安全性和隐私,计算机体系结构/系统和算法。在此计划项目中,将开发S3-Iot框架的初始版本。 S3 -iot框架(i)将利用分层结构 - 数据中心,网关/聚合器和边缘设备来容纳大量的边缘设备; (ii)开发跨层技术来处理这些层之间的异质性; (iii)提出了硬件和软件共同设计方法,该方法包含计算组件之间的异质性,以提高单个层中所有组件的性能。 S3-Iot框架将通过开发具有分层结构的模拟器以及小规模的全面实验测试床来评估。该计划项目的成功将导致有效部署关键任务的物联网系统和基础架构的令人信服的途径,尤其是在提高对环境不确定性的韧性,系统内部错误和故障以及恶意攻击方面,这奖反映了NSF的法定任务,并通过评估基金会的智力效果和广泛的范围来进行评估。

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
APaS: An Adaptive Partition-Based Scheduling Framework for 6TiSCH Networks
APaS:6TiSCH 网络的自适应分区调度框架
Reliable Dynamic Packet Scheduling With Slot Sharing for Real-Time Wireless Networks
  • DOI:
    10.1109/tmc.2022.3196922
  • 发表时间:
    2023-11
  • 期刊:
  • 影响因子:
    7.9
  • 作者:
    Tianyu Zhang;Tao Gong;Mingsong Lyu;Nan Guan;Song Han;X. Hu
  • 通讯作者:
    Tianyu Zhang;Tao Gong;Mingsong Lyu;Nan Guan;Song Han;X. Hu
Distributed Successive Packet Scheduling for Multi-Channel Real-Time Wireless Networks
HARP: Hierarchical Resource Partitioning in Dynamic Industrial Wireless Networks
Demo Abstract: A Full-Blown 6TiSCH Network with Partition-based Resource Management for Large-Scale Real-Time Wireless Applications
演示摘要:具有基于分区的资源管理的成熟 6TiSCH 网络,适用于大规模实时无线应用
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Song Han其他文献

Underwater Biological Detection Algorithm Based on Improved Faster-RCNN
基于改进的Faster-RCNN的水下生物检测算法
  • DOI:
    10.3390/w13172420
  • 发表时间:
    2021-09
  • 期刊:
  • 影响因子:
    3.4
  • 作者:
    Pengfei Shi;Xiwang Xu;Jianjun Ni;Yuanxue Xin;Weisheng Huang;Song Han
  • 通讯作者:
    Song Han
Deep Learning for OFDM Channel Estimation in Impulsive Noise Environments
脉冲噪声环境中 OFDM 信道估计的深度学习
  • DOI:
    10.1007/s11277-022-09693-z
  • 发表时间:
    2022-04
  • 期刊:
  • 影响因子:
    2.2
  • 作者:
    Xinbin Li;Zhaoxing Han;Haifeng Yu;Lei Yan;Song Han
  • 通讯作者:
    Song Han
Collaboration-Aware Relay Selection for AUV in Internet of Underwater Network: Evolving Contextual Bandit Learning Approach
水下互联网中 AUV 的协作感知中继选择:不断发展的上下文强盗学习方法
  • DOI:
    10.1109/jiot.2022.3211953
  • 发表时间:
    2023-02
  • 期刊:
  • 影响因子:
    10.6
  • 作者:
    Haihong Zhao;Xinbin Li;Song Han;Lei Yan;Junzhi Yu
  • 通讯作者:
    Junzhi Yu
Communication-Optimal Distributed Dynamic Graph Clustering
通信最优的分布式动态图聚类
Thermal Regulation of KCNQ2 Potassium Channels
KCNQ2 钾通道的热调节
  • DOI:
    10.5099/aj120400333
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Fang Yu;Song Han;Wanhong Liu;Yuncui Wang;Yanlan Liu;Jun Yin;Hui Wang;B. Peng;Xiaohua He
  • 通讯作者:
    Xiaohua He

Song Han的其他文献

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{{ truncateString('Song Han', 18)}}的其他基金

Collaborative Research: SHF: Medium: Heterogeneous Architecture for Collaborative Machine Learning
协作研究:SHF:媒介:协作机器学习的异构架构
  • 批准号:
    2106711
  • 财政年份:
    2021
  • 资助金额:
    $ 4万
  • 项目类别:
    Continuing Grant
Collaborative Research: PPoSS: LARGE: Principles and Infrastructure of Extreme Scale Edge Learning for Computational Screening and Surveillance for Health Care
合作研究:PPoSS:大型:用于医疗保健计算筛查和监视的超大规模边缘学习的原理和基础设施
  • 批准号:
    2119340
  • 财政年份:
    2021
  • 资助金额:
    $ 4万
  • 项目类别:
    Continuing Grant
Collaborative Research: PPoSS: Planning: Principles for Edge Sensing and Computing for Personalized, Precision Healthcare at National Scale
合作研究:PPoSS:规划:全国范围内个性化精准医疗的边缘传感和计算原则
  • 批准号:
    2028888
  • 财政年份:
    2020
  • 资助金额:
    $ 4万
  • 项目类别:
    Standard Grant
RAPID: Preventing the Spread of Coronavirus with Efficient Deep Learning
RAPID:通过高效的深度学习防止冠状病毒的传播
  • 批准号:
    2027266
  • 财政年份:
    2020
  • 资助金额:
    $ 4万
  • 项目类别:
    Standard Grant
CNS Core: Small: Dynamic and Composite Resource Management in Large-scale Industrial IoT Systems
CNS 核心:小型:大型工业物联网系统中的动态复合资源管理
  • 批准号:
    2008463
  • 财政年份:
    2020
  • 资助金额:
    $ 4万
  • 项目类别:
    Standard Grant
CAREER: Efficient Algorithms and Hardware for Accelerated Machine Learning
职业:用于加速机器学习的高效算法和硬件
  • 批准号:
    1943349
  • 财政年份:
    2020
  • 资助金额:
    $ 4万
  • 项目类别:
    Continuing Grant
CPS: Small: Collaborative Research: A Secure Communication Framework with Verifiable Authenticity for Immutable Services in Industrial IoT Systems
CPS:小型:协作研究:工业物联网系统中不可变服务的具有可验证真实性的安全通信框架
  • 批准号:
    1932480
  • 财政年份:
    2019
  • 资助金额:
    $ 4万
  • 项目类别:
    Standard Grant
PFI-TT: Developing a Configurable Real-time High-speed Wireless Communication Platform for Large-scale Industrial Control Systems
PFI-TT:为大型工业控制系统开发可配置的实时高速无线通信平台
  • 批准号:
    1919229
  • 财政年份:
    2019
  • 资助金额:
    $ 4万
  • 项目类别:
    Standard Grant
CCRI: Planning: Collaborative Research: A Software-defined Wireless Communications Network Research Infrastructure for the Industrial Internet of Things(IIoT)Research Community
CCRI:规划:协作研究:工业物联网(IIoT)研究社区的软件定义无线通信网络研究基础设施
  • 批准号:
    1925706
  • 财政年份:
    2019
  • 资助金额:
    $ 4万
  • 项目类别:
    Standard Grant

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支持二维毫米波波束扫描的微波/毫米波高集成度天线研究
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相似海外基金

Collaborative Research: PPoSS: Large: A Full-stack Approach to Declarative Analytics at Scale
协作研究:PPoSS:大型:大规模声明性分析的全栈方法
  • 批准号:
    2316161
  • 财政年份:
    2023
  • 资助金额:
    $ 4万
  • 项目类别:
    Continuing Grant
Collaborative Research: PPoSS: LARGE: Research into the Use and iNtegration of Data Movement Accelerators (RUN-DMX)
协作研究:PPoSS:大型:数据移动加速器 (RUN-DMX) 的使用和集成研究
  • 批准号:
    2316176
  • 财政年份:
    2023
  • 资助金额:
    $ 4万
  • 项目类别:
    Continuing Grant
Collaborative Research: PPoSS: Large: A Full-stack Approach to Declarative Analytics at Scale
协作研究:PPoSS:大型:大规模声明性分析的全栈方法
  • 批准号:
    2316158
  • 财政年份:
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Collaborative Research: PPoSS: LARGE: Cross-layer Coordination and Optimization for Scalable and Sparse Tensor Networks (CROSS)
合作研究:PPoSS:LARGE:可扩展和稀疏张量网络的跨层协调和优化(CROSS)
  • 批准号:
    2316201
  • 财政年份:
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Collaborative Research: PPoSS: LARGE: Cross-layer Coordination and Optimization for Scalable and Sparse Tensor Networks (CROSS)
合作研究:PPoSS:LARGE:可扩展和稀疏张量网络的跨层协调和优化(CROSS)
  • 批准号:
    2316203
  • 财政年份:
    2023
  • 资助金额:
    $ 4万
  • 项目类别:
    Continuing Grant
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