ICN-WEN: Collaborative Research: SPLICE: Secure Predictive Low-Latency Information Centric Edge for Next Generation Wireless Networks

ICN-WEN：协作研究：SPLICE：下一代无线网络的安全预测低延迟信息中心边缘

基本信息

批准号：
1719384
负责人：
Panganamala Kumar
金额：
$ 32.5万
依托单位：
Texas A&M Engineering Experiment Station
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：
2017-06-01 至 2021-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1719384&HistoricalAwards=false
关键词：
ICN WEN Collaborative Research SPLICE

项目摘要

The fifth generation of wireless communication promises to provide Gigabits per second data transfer rates and communication delays of less than a millisecond. Significant challenges must be overcome in designing a system architecture such that data intensive and/or latency sensitive applications can obtain the information that they need for peak performance. Information-Centric Networking (ICN) has the potential to enable wireless efficiencies that are critical to support the strict guarantees desired by new applications such as virtual and augmented reality (VR/AR) or the control of swarms of unmanned autonomous vehicles (UAVs). The goal of this project is to design, develop and demonstrate SPLICE, a Secure Predictive Low-Latency Information-Centric Edge wireless network that will be able to provide information guarantees to these emerging applications. The project will also contribute to workforce development by means of curriculum development in this domain and recruitment of students from under-represented groups in STEM.The proposed work is anchored in an ICN implementation called Named Data Networking (NDN), which will be able to effectively tie together application demands and wireless links. The research is organized into three inter-dependent thrusts: (i) Applications for an Information-Centric Wireless Edge: This thrust will define the performance criteria and determine the architecture of the focus application of the project: VR/AR. It will exploit multiple dimensions of commonality between instances of such applications through fast content caching and retrieval, and multicast services. (ii) ICN for the Wireless Edge: explore how information exchange via caching and markets would be accomplished, and how to design secure and privacy-preserving data transfer methods. A key novelty is the use of proactive secure caching that learns the value of applications and ensures they are cached ahead of demand. (iii) Wireless Communication for Information-Centric Networks: employ multicasting capabilities of wireless communication while simultaneously achieving low-delay guarantees and low-complexity feedback mechanisms, via a mix of coding, caching and scheduling techniques.

第五代无线通信有望提供每秒千兆位的数据传输速率和小于一毫秒的通信延迟。在设计系统架构时必须克服重大挑战，以便数据密集型和/或延迟敏感的应用程序可以获得峰值性能所需的信息。以信息为中心的网络 (ICN) 具有提高无线效率的潜力，这对于支持虚拟和增强现实 (VR/AR) 或无人机群 (UAV) 群控制等新应用所需的严格保证至关重要。该项目的目标是设计、开发和演示 SPLICE，这是一种安全预测低延迟、以信息为中心的边缘无线网络，能够为这些新兴应用提供信息保证。该项目还将通过该领域的课程开发和从 STEM 中代表性不足的群体中招募学生来促进劳动力发展。拟议的工作以名为命名数据网络 (NDN) 的 ICN 实施为基础，该实施将能够有效地将应用需求和无线链路结合在一起。该研究分为三个相互依赖的主旨： (i) 以信息为中心的无线边缘应用：该主旨将定义性能标准并确定项目重点应用的架构：VR/AR。它将通过快速内容缓存和检索以及多播服务来利用此类应用程序实例之间的多个维度的共性。 (ii) 无线边缘ICN：探索如何通过缓存和市场完成信息交换，以及如何设计安全且保护隐私的数据传输方法。一个关键的新颖之处是使用主动安全缓存，它可以了解应用程序的价值并确保它们在需求之前被缓存。 (iii) 以信息为中心的网络的无线通信：利用无线通信的多播功能，同时通过编码、缓存和调度技术的组合实现低延迟保证和低复杂性反馈机制。

项目成果

期刊论文数量（30）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Cache-Version Selection and Content Placement for Adaptive Video Streaming in Wireless Edge Networks

无线边缘网络中自适应视频流的缓存版本选择和内容放置

DOI：
10.23919/wiopt47501.2019.9144116
发表时间：
2019-03-01
期刊：
2019 International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOPT)
影响因子：
0
作者：
Archana Sasikumar;Tao Zhao;I.;S. Shakkottai
通讯作者：
S. Shakkottai

Scheduling Real-Time Information-Update Flows for the Optimal Confidence in Estimation

调度实时信息更新流程以获得最佳估计置信度