ICN-WEN: Collaborative Research: Light-Speed Networking (LSN): Refactoring the Wireless Network Stack to Dramatically Reduce Information Response Time

ICN-WEN：合作研究：光速网络 (LSN)：重构无线网络堆栈以大幅缩短信息响应时间

• 批准号: 1719336
• 负责人: Suman Banerjee
• 金额: $ 107万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1719336&HistoricalAwards=false
• 关键词: ICN; WEN; Collaborative; Research; Light

A key hurdle for next-generation mobile and wireless applications such as autonomous vehicle safety, tactile Internet, virtual/augmented reality, industrial robotics, and tele-surgery is ultra-low information response time (IRT), since these applications continue to see significant improvement in user-perceived experience all the way down to an IRT as low as a millisecond. Unfortunately, today's Internet protocol stack, despite the rather ambitious projections of emerging wireless communications standards, is unable to achieve a 1 millisecond common-case IRT in wireless environments. A fundamental bottleneck for reducing IRT is propagation delays limited by the speed of light as well as a variety of factors across the protocol stack. This project is investigating the design, implementation, and evaluation of a "light-speed networking" (LSN) architecture seeking to dramatically reduce IRT in wireless edge networks by incorporating an information-centric approach holistically across the different layers of the network protocol stack. This project will also develop novel curricula and dissemination materials aimed at education a new generation of workforce in information-aware networking principles are going to be the foundation of future communication networks.The LSN project will enable the network to automatically migrate a remote service endpoint close to the end-user, for example, on to a nano-cloud on a virtualized base station, thereby cutting down propagation delays limited by the speed of light. LSN combines this capability with several other novel ideas including information-value-awareness: enabling different layers to leverage application-level knowledge about the value and semantics of the data; private information retrieval: enabling users to access information without revealing to the network what they are accessing; radio polymorphism: enabling intelligent use of different radios based on information value; access-point-centric security and privacy enhancements; etc. LSN builds upon key ideas from recent next-generation Internet architecture projects including MobilityFirst and XIA.

下一代移动的和无线应用（例如自主车辆安全、触觉互联网、虚拟/增强现实、工业机器人和远程手术）的关键障碍是超低信息响应时间（IRT），因为这些应用继续看到用户感知体验的显著改善，一直到低至毫秒的IRT。不幸的是，今天的互联网协议栈，尽管新兴的无线通信标准的相当雄心勃勃的计划，是无法实现1毫秒的常见情况下的IRT在无线环境中。减少IRT的一个基本瓶颈是传播延迟，它受到光速以及协议栈中各种因素的限制。该项目正在研究“光速网络”（LSN）架构的设计、实现和评估，该架构旨在通过在网络协议栈的不同层中全面采用以信息为中心的方法，大幅减少无线边缘网络中的IRT。该项目还将开发新的课程和传播材料，旨在教育新一代劳动力了解信息感知网络原则将成为未来通信网络的基础。LSN项目将使网络能够自动迁移靠近最终用户的远程服务端点，例如，迁移到虚拟基站上的纳米云上，从而减少受光速限制的传播延迟。LSN将这种能力与其他几个新颖的想法相结合，包括信息价值意识：使不同的层能够利用关于数据的价值和语义的应用级知识;私有信息检索：使用户能够访问信息，而不向网络透露他们正在访问的内容;无线电多态性：根据信息价值智能地使用不同的无线电;以接入点为中心的安全和隐私增强等。LSN建立在最近的下一代互联网架构项目（包括MobilityFirst和XIA）的关键思想之上。

项目成果

Low-Cost Video Transcoding at the Wireless Edge

• DOI: 10.1109/sec.2016.8
• 发表时间: 2016-10
• 期刊: 2016 IEEE/ACM Symposium on Edge Computing (SEC)
• 作者: Jongwon Yoon;Peng Liu;Suman Banerjee

Hermes: A Real Time Hypervisor for Mobile and IoT Systems

Hermes：适用于移动和物联网系统的实时管理程序

• DOI: 10.1145/3177102.3177103
• 发表时间: 2018
• 期刊: International Workshop on Mobile Computing Systems & Applications (HotMobile
• 作者: Klingensmith, Neil;Banerjee, Suman
• 通讯作者: Banerjee, Suman

MicPrint: acoustic sensor fingerprinting for spoof-resistant mobile device authentication

• DOI: 10.1145/3360774.3360801
• 发表时间: 2019-11
• 期刊: Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services
• 作者: Yongwoo Lee;Jingjie Li;Younghyun Kim

A vehicle-based edge computing platform for transit and human mobility analytics

• DOI: 10.1145/3132211.3134446
• 发表时间: 2017-10
• 期刊: Proceedings of the Second ACM/IEEE Symposium on Edge Computing
• 作者: Bozhao Qi;Lei Kang;Suman Banerjee

CamPUF: Physically Unclonable Function based on CMOS Image Sensor Fixed Pattern Noise

CamPUF：基于 CMOS 图像传感器固定模式噪声的物理不可克隆功能

• DOI: 10.1145/3195970.3196005
• 发表时间: 2018
• 期刊: Design Automation Conference (DAC
• 作者: Kim, Younghyun;Lee, Yongwoo
• 通讯作者: Lee, Yongwoo