WiFiUS: Collaborative Research: Scalable Edge Architecture for Massive Location-Aware Heterogeneous IoT Systems

WiFiUS：协作研究：大规模位置感知异构物联网系统的可扩展边缘架构

基本信息

批准号：
1702967
负责人：
Theodore Rappaport
金额：
$ 15万
依托单位：
New York University
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：
2017-04-01 至 2020-03-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1702967&HistoricalAwards=false
关键词：
WiFiUS Collaborative Research Scalable Edge

项目摘要

The "Scalable Edge Architecture for Massive Location-Aware Heterogeneous IoT Systems" projectaddresses essential research problems for developing network design and Internet of Things (IoT)systems in both high bandwidth and low bandwidth environments. By defining an efficient securityand scalability-enhancing edge architecture that moves data processing close to users, it minimizesdata transfer latencies and overhead in the network. The fusion of sensor data from different sourcescan significantly improve the efficiency of many existing systems. In some areas, massivebandwidth is about to become available to cellular and WiFi networks in the millimeter wave bands.The Federal Government recently opened up 28 GHz at frequencies above 24GHz and promises to revolutionize wireless systems and enable IoT applications never beforeconceived, particularly in dense urban areas. Smart traffic and connected (autonomous) cars are anexample application area enabled by the new bandwidth, which requires combining these differentapproaches in the architectural design of large-scale IoT systems. Integrating IoT with edge/fogcomputing, millimeter wave (mmWave) technologies and distributed processing enables optimizingthe system level performance considering system capacity, reduced network bandwidth for data andcontrol traffic, increased system level programmability and automation, accurate location-aawareness,virtualization, low latency, scalability, and enhanced security and privacy. One of thenovel aspects of our proposed system is that it transitions seamlessly from an emulated andsimulated environment to actual production deployment, and mixtures of these modes, facilitatingrobust and reliable IoT systems at scale.The project provides contributions in several essential areas of IoT network architectures andsecurity: 1) minimizing the need of manual configuration in large-scale IoT networks; 2) scalableauthentication and key management systems; 3) efficient distributed IoT architecture to performcomplex and delay-sensitive tasks, with rapid deployment and prototyping; 4) secureinteroperability between heterogeneous IoT devices; and 5) positioning and capacity optimizationbased on mmWave communications, considering especially smart traffic and vehicle-to-vehiclecommunications. The project proposes a multi-layered approach for scaling IoT systems insimulation and emulation, allowing to combine physical systems with emulated systems,incorporating new mmWave RF and network models, network emulation, virtual systems, modelsof the physical world and user interfaces. The emulation system allows the team to explore mobileedge and fog computing to enhance efficiency, reduce control-loop delays and assure privacy ofsensitive data. A new authentication model and naming system allows scaling for deployment andprogramming. The prototype open-source IoT emulator, along with the mmWave channel models,developed in the project will allow industrial IoT system developers to more rapidly and reliablydevelop new IoT systems. The authentication and naming components will be submitted forpossible standardization. The new channel models are likely to inform spectrum allocationdecisions for mmWave bands by national regulators.

在高带宽和低带宽环境中开发网络设计和物联网（IoT）系统的基本研究问题，“用于大量位置感知的异质物联网系统的可伸缩边缘体系结构”提出了基本的研究问题。通过定义有效的安全性和可扩展性增强性边缘体系结构，该体系结构将数据处理靠近用户移动，它可以最大程度地减少网络中的传输潜伏期和开销。来自不同来源的传感器数据融合显着提高了许多现有系统的效率。在某些地区，大规模带宽即将成为毫米波带的蜂窝和WiFi网络。联邦政府最近以24GHz以上的频率开放了28 GHz，并承诺将革新无线系统，并实现从未有过的IOT应用程序，尤其是在密集的城市地区。智能流量和连接的（自动驾驶）汽车是由新带宽启用的示例应用程序区域，它需要在大规模物联网系统的架构设计中将这些不同的操作结合起来。将物联网与边缘/FogComputing，毫米波（MMWave）技术和分布式处理集成，可以优化系统级别的性能考虑系统能力，减少数据和孔隙流量的网络带宽，增加系统级别的可编程性和自动化，自动化，准确的位置 - 空白，虚拟化，虚拟化，降低延迟，延迟性，可延迟性，安全性和增强性。我们提出的系统的Theovel方面之一是，它从模拟和模拟的环境无缝过渡到实际生产部署，以及这些模式的混合物，促进固定和可靠的物联网系统。该项目在iot网络体系结构和效率的几个基本领域中提供了贡献：1）最小化网络的构造，该网络构造了大型构图，以大规模的构建; 2）缩放率验证和键管理系统； 3）有效的分布式IoT体系结构，可进行性能复杂和延迟敏感任务，并具有快速的部署和原型制作； 4）异质IoT设备之间的固定可区分性； 5）在MMWave通信上基于定位和容量优化，考虑到特别明智的交通和车辆到车辆通信。该项目提出了一种多层方法，用于扩展物联网系统的不虚构系统，使物理系统与仿真系统结合，结合了新的MMWave RF和网络模型，网络仿真，虚拟系统，物理世界和用户接口的模型。仿真系统允许团队探索移动设备和雾计算，以提高效率，减少控制环延迟并确保对敏感数据的隐私。一个新的身份验证模型和命名系统允许扩展部署和程序。项目中开发的原型开源物联网模拟器以及MMWave频道模型将使工业物联网系统开发人员更快，更可靠地开发新的物联网系统。身份验证和命名组件将被提交可保留的标准化。新的频道模型可能会为国家监管机构对MMWave频段的频谱分配决定提供信息。

项目成果

期刊论文数量（11）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Verification and Calibration of Antenna Cross-Polarization Discrimination and Penetration Loss for Millimeter Wave Communications

毫米波通信天线交叉极化鉴别和穿透损耗的验证和校准

DOI：
10.1109/vtcfall.2018.8690683
发表时间：
2018
期刊：
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall
影响因子：
0
作者：
Xing, Yunchou;Kanhere, Ojas;Ju, Shihao;Rappaport, Theodore S.;MacCartney, George R.
通讯作者：
MacCartney, George R.

A Millimeter-Wave Channel Simulator NYUSIM with Spatial Consistency and Human Blockage

DOI：
10.1109/globecom38437.2019.9013273
发表时间：
2019-01-01
期刊：
2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)
影响因子：
0
作者：
Ju, Shihao;Kanhere, Ojas;Rappaport, Theodore S.
通讯作者：
Rappaport, Theodore S.

Propagation Measurement System and Approach at 140 GHz-Moving to 6G and Above 100 GHz

DOI：
10.1109/glocom.2018.8647921
发表时间：
2018-08
期刊：
2018 IEEE Global Communications Conference (GLOBECOM)
影响因子：
0
作者：
Yunchou Xing;T. Rappaport
通讯作者：
Yunchou Xing;T. Rappaport

Scattering Mechanisms and Modeling for Terahertz Wireless Communications

DOI：
10.1109/icc.2019.8761205
发表时间：
2019-03
期刊：
ICC 2019 - 2019 IEEE International Conference on Communications (ICC)
影响因子：
0
作者：
Shihao Ju;S. Shah;Muhammad Affan Javed;Jun Li;Girish Palteru;Jyotish Robin;Yunchou Xing;Ojas Kanhere;T. Rappaport
通讯作者：
Shihao Ju;S. Shah;Muhammad Affan Javed;Jun Li;Girish Palteru;Jyotish Robin;Yunchou Xing;Ojas Kanhere;T. Rappaport

Position Locationing for Millimeter Wave Systems

毫米波系统的位置定位