Collaborative Research: CNS Core: Medium: Real-Time Liquid Wireless Networking for Data-Intensive Rural Applications

合作研究：CNS 核心：媒介：数据密集型农村应用的实时液体无线网络

• 批准号: 2212573
• 负责人: Hongwei Zhang
• 金额: $ 30万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2212573&HistoricalAwards=false
• 关键词: Collaborative; Research; CNS; Core; Medium

Rural broadband is a foundation for a strong rural economy and quality of life, and many rural applications require real-time data-intensive communications. Wireless networks are essential building blocks of rural broadband; however, rural wireless is subject to environmental factors such as weather, terrain, foliage, and crop types and densities, and rural wireless networks need to provide coverage to much larger areas with less density than urban networks. To support real-time data-intensive rural applications, this project will investigate Real-Time Liquid Wireless Networking (RT-LWN). The RT-LWN framework is expected to become a foundational component of rural broadband solutions, and the enabled real-time data-intensive rural applications such as agriculture automation and immersive online education are expected to have a transformative impact on rural industries and communities. This project will generate first-of-its-kind real-world measurement data and models of rural access and backhaul links, and they will be of broad use by the research and education communities. This project will create exciting opportunities for broadening participation in computing, and it will help enrich undergraduate and graduate research and education as well as K-12 outreach. Project results will be broadly disseminated. In the RT-LWN framework, application data are encoded using fountain codes and then delivered across wireless access and backhaul networks with probabilistic real-time packet delivery guarantees. The liquidity of fountain-encoded data, together with a field-deployable approach to probabilistic real-time communication guarantees across wireless access and backhaul, enables efficient, real-time delivery of each source block while fully leveraging the aggregate capacity of heterogeneous wireless networks in the presence of fast-varying dynamics and uncertainties. The RT-LWN framework effectively integrates fountain-encoded liquid data with the design of predictable wireless networking. In particular, with predictable control of communication reliability, timeliness, and throughput at the link, network, and liquid transport layers, RT-LWN enables “predictability by design”, and it tackles the resiliency and performance challenges of rural wireless at the same time, to enable transformative real-time data-intensive applications. RT-LWN embeds liquid data networking into a rural wireless network architecture featuring 1) novel, effective integration of the liquid transport layer into end-points, 2) functional decomposition across the liquid transport layer and lower layers based on the end-to-end principle, and 3) field-deployable, holistic designs for addressing complex, fast-varying wireless dynamics and uncertainties.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.

农村宽带是强大农村经济和生活质量的基础，许多农村应用需要实时数据密集型通信。无线网络是农村宽带的重要组成部分；然而，农村无线网络会受到天气、地形、树叶、作物类型和密度等环境因素的影响，并且农村无线网络需要以比城市网络低的密度覆盖更大的区域。为了支持实时数据密集型农村应用，该项目将研究实时液体无线网络（RT-LWN）。 RT-LWN框架预计将成为农村宽带解决方案的基础组成部分，农业自动化和沉浸式在线教育等实时数据密集型农村应用预计将对农村产业和社区产生变革性影响。该项目将生成首个农村接入和回程链路的真实测量数据和模型，它们将被研究和教育界广泛使用。该项目将为扩大计算机领域的参与创造令人兴奋的机会，并将有助于丰富本科生和研究生的研究和教育以及 K-12 的推广。项目成果将得到广泛传播。在 RT-LWN 框架中，应用程序数据使用喷泉码进行编码，然后通过无线接入和回程网络进行传递，并提供概率实时数据包传递保证。喷泉编码数据的流动性，加上可现场部署的无线接入和回程概率实时通信方法，可实现每个源块的高效、实时交付，同时在快速变化的动态和不确定性下充分利用异构无线网络的总容量。 RT-LWN框架有效地将喷泉编码的液体数据与可预测的无线网络设计相结合。特别是，通过对链路、网络和液体传输层的通信可靠性、及时性和吞吐量进行可预测的控制，RT-LWN 实现了“设计的可预测性”，同时解决了农村无线的弹性和性能挑战，以实现变革性的实时数据密集型应用。 RT-LWN 将液体数据网络嵌入到农村无线网络架构中，具有以下特点：1) 将液体传输层新颖、有效地集成到端点中，2) 基于端到端原理对液体传输层和较低层进行功能分解，以及 3) 可现场部署的整体设计，用于解决复杂、快速变化的无线动态和不确定性。该奖项反映了 NSF 的法定使命，并已被 通过使用基金会的智力优点和更广泛的影响审查标准进行评估，认为值得支持。