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: 2212575
• 负责人: John Byers
• 金额: $ 15万
• 依托单位: Trustees of Boston 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=2212575&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.

农村宽带是一种强大的农村经济和生活质量，许多农村应用需要实时的数据强度。与城市的密度相比，密度和拉雷斯需要为大量的覆盖范围，以支持实时数据密集型的集体应用，并研究实时液体无线网络（RT-LWN） -LWNWork预计将成为农村Bradband解决方案的基础，并且可以实现实时的实时密集型Rualal应用程序，例如农业自动化和沉浸式的在线教育，将对该项目产生转变的影响。 - 现实世界的测量数据和农村和背部链接的模型，以及剧院和教育社区。研究生的研究和教育以及K-12外展活动将在RT-LWN框架中广泛传播。在无线访问和回程的概率实时通信的情况下，每个源块的实时通信，同时充分利用异质无线网络的能力，在有速度变化的动态NCEALTIES的情况下，将其实时交付。 LWN框架有效的液体数据，具有可预测的无线的设计，可预测的通信可靠性控制，并在链接，网络和液体传输层上使用，RT-LWN可以通过设计启用”同时，为了实现变换的实时数据密集型应用程序。 - 到达原理，3）可解决复杂，快速的无线和不书面的整体设计，这是反映了NSF的飞行任务。