CAREER: Taming Wireless Devices Cross-Layer Errors with Assistive Networked Edges

职业：利用辅助网络边缘解决无线设备跨层错误

• 批准号: 2047484
• 负责人: Jianqing Liu
• 金额: $ 50万
• 依托单位: University of Alabama in Huntsville
• 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: 2021-03-15 至 2023-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2047484&HistoricalAwards=false
• 关键词: CAREER; Taming; Wireless; Devices; Cross

Wireless devices such as smart phones, computers and sensors are ubiquitous in our daily life and modern society, creating unprecedented benefits in work efficiency, healthcare, automation control and many more. Due to the imperfect electronics and noisy environments, wireless devices are inherently faculty which can result in multifaceted data errors in computing, caching, and communications (C3). These errors have been widely deemed harmful, so the state-of-the-art on error control mainly target for absolute error removal. Yet, data errors can be benign or even beneficial (e.g., introducing errors to gradients may help the machine learning models to escape local optima), while existing research that are reactive and non-functional fail to turn data errors into good. Hence, the research objective of this project is to proactively harvest, render, and control data errors across C3 of wireless devices for significant performance gains in energy efficiency, throughput, data privacy, etc. Moreover, the research efforts will be coupled with educational innovations through the development of new laboratories, lecture contents, outreach demos and a novel undergraduate/graduate co-learning pedagogy. The successful completion of this project will enhance diversity in the wireless workforce in the nation, promote community outreach and create fundamental innovations of wireless technologies that are transformative to future wireless applications (e.g., AI and smart health).The proposed research activities include a synergy of hardware and software designs across layers of application, embedded memory and front-end radio in wireless devices as well as network protocols on wireless network edges. Expected outcomes include: (1) Harvest and render errors to specific data bits (i.e., application-aware) at runtime to realize system performance gains. (2) Integrate and control errors with contextual awareness (e.g., channel condition) for optimized adaptation using implicit control signaling. (3) Develop a suite of edge networking protocols to facilitate control of erroneous data. In parallel efforts, the proposed education activities include the creation of hardware- and application-aware wireless projects, laboratories, lecture contents and outreach demos. These materials will be delivered holistically by following a designed undergraduate/graduate co-learning pedagogy and a planned undergraduate research pathway. Various outreach activities will be also designed and performed to target low-income and rural K-12 students and first-generation college students – unique under-represented groups at PI’s home state. Expected outcomes include: (1) Prepare K-12 students for future collegiate study by offering a clearer disciplinary focus. (2) Increase the diversity and the population of our nation’s workforce in wireless technologies.This project is jointly funded by the Division of Electrical, Communications and Cyber Systems, Directorate of Engineering, and the Established Program to Stimulate Competitive Research (EPSCoR).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.

智能手机，计算机和传感器等无线设备在我们的日常生活和现代社会中无处不在，在工作效率，医疗保健，自动化控制等方面创造了前所未有的好处。由于电子和噪声环境不完善，无线设备本质上是教师，可以导致计算，缓存和通信中的多方面数据错误（C3）。这些错误被广泛认为是有害的，因此误差控制的最新误差主要是删除绝对错误的目标。但是，数据错误可能是良性甚至有益的（例如，将错误引入梯度可能有助于机器学习模型逃避本地Optima），而现有的反应性和非功能性的研究将数据错误转化为良好。因此，该项目的研究目标是主动收获，渲染和控制数据误差无线设备的数据错误，以取得能力效率，吞吐量，数据隐私等的显着绩效。该项目的成功完成将增强全国无线劳动力的多样性，促进社区宣传，并创造无线技术的基本创新，这些技术对未来的无线应用程序进行了转变（例如，AI和Smart Health）。拟议的研究活动包括跨越启用的网络和无线网络以及无线网络以及无线网络以及无线网络以及无线网络以及无线网络以及无线网络以及无线网络以及无线网络以及无线网络以及无线网络以及无线网络以及无线网络以及无线网络以及无线网络以及无线网络以及无线网络的无线网络。预期结果包括：（1）在运行时收获和使特定数据位（即应用程序感知）的错误发生错误，以实现系统性能提高。 （2）与上下文意识（例如，通道条件）集成和控制误差，以使用隐式控制信号进行优化适应。 （3）开发一套边缘网络协议，以促进控制错误数据。在并行的努力中，拟议的教育活动包括创建硬件和应用吸引的无线项目，实验室，讲座内容和外展演示。这些材料将通过遵循设计的本科/研究生共学习教学法和计划的本科研究途径来整体交付。各种外展活动还将设计和执行，以针对低收入和农村K-12学生以及第一代大学生 - PI家乡的独特代表团体。预期的结果包括：（1）通过提供更清晰的纪律重点来为K-12学生做好准备以进行未来的大学学习。 （2）增加了国家无线技术劳动力的多样性和人口。本项目由电气，通信和网络系统，工程局以及启发竞争性研究的既定计划（EPSCOR）共同资助。本奖项颁奖典礼反映了NSF的法定任务，反映了通过评估的支持者，其知识均受到评估，并概述了基础。