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:
- 金额:$ 32.5万
- 依托单位:
- 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:
- 关键词:
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数据传输速率和沟通延迟小于毫秒。设计系统体系结构必须克服重大挑战,以便数据密集型和/或潜伏期敏感的应用程序可以获得他们所需的峰值性能信息。以信息为中心的网络(ICN)有可能实现无线效率,这些效率对于支持虚拟和增强现实(VR/AR)等新应用所需的严格保证或对无人自动驾驶汽车(无人机)群体的控制的严格保证。该项目的目的是设计,开发和演示剪接,这是一个安全的预测性低延迟信息中心无线网络,能够为这些新兴应用程序提供信息保证。该项目还将通过该领域的课程开发以及STEM中代表性不足群体的学生的招募来为劳动力的发展做出贡献。拟议的工作锚定在称为命名数据网络(NDN)的ICN实施中,这将能够有效地将应用程序需求与应用程序需求和无线链接联系在一起。该研究分为三个相互依赖性的推力:(i)以信息为中心的无线边缘的应用:此推力将定义性能标准并确定项目焦点应用的体系结构:VR/AR。它将通过快速内容缓存和检索以及多播服务之间利用此类应用程序实例之间的多个公共性。 (ii)无线边缘的ICN:探索如何通过缓存和市场完成信息交换,以及如何设计安全和隐私的数据传输方法。一个主要的新颖性是使用主动的安全缓存,该缓存了解应用程序的价值并确保它们在需求之前被缓存。 (iii)以信息为中心网络的无线通信:采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,同时实现低延期保证和低复杂的反馈机制。
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)
Mode-Suppression: A Simple, Stable and Scalable Chunk-Sharing Algorithm for P2P Networks
- DOI:10.1109/tnet.2021.3092008
- 发表时间:2021-12-01
- 期刊:
- 影响因子:3.7
- 作者:Reddyvari, Vamseedhar;Bobbili, Sarat Chandra;Shakkottai, Srinivas
- 通讯作者:Shakkottai, Srinivas
Heavy-Traffic Analysis of QoE Optimality for On-Demand Video Streams Over Fading Channels
- DOI:10.1109/tnet.2018.2846518
- 发表时间:2018-06
- 期刊:
- 影响因子:0
- 作者:Ping-Chun Hsieh;I.-Hong Hou
- 通讯作者:Ping-Chun Hsieh;I.-Hong Hou
Predictive Scheduling for Virtual Reality
- DOI:10.1109/infocom41043.2020.9155249
- 发表时间:2020-01-01
- 期刊:
- 影响因子:0
- 作者:Hou, I-Hong;Naghsh, Narges Zarnaghi;Eryilmaz, Atilla
- 通讯作者:Eryilmaz, Atilla
Broadcasting Real-Time Flows in Integrated Backhaul and Access 5G Networks
在集成回程和接入 5G 网络中广播实时流
- DOI:10.23919/wiopt47501.2019.9144141
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:HasanzadeZonuzy, Aria;Hou, I-Hong Hou;Shakkottai, Srinivas
- 通讯作者:Shakkottai, Srinivas
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
- DOI:10.1109/jsac.2021.3065093
- 发表时间:2021
- 期刊:
- 影响因子:16.4
- 作者:Guo, Daojing;Hou, I-Hong
- 通讯作者:Hou, I-Hong
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Panganamala Kumar其他文献
Panganamala Kumar的其他文献
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{{ truncateString('Panganamala Kumar', 18)}}的其他基金
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FMRG:网络:美国制造:通过制造、人工智能和材料科学的融合实现按需制造材料
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2328395 - 财政年份:2024
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Standard Grant
SII Planning: Theory, Practice and Reality of Spectrum
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2037890 - 财政年份:2020
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CPS: Synergy: Collaborative Research: Holistic Control and Management of Industrial Wireless Processes
CPS:协同:协作研究:工业无线过程的整体控制和管理
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EAGER: Cybermanufacturing: Design and analysis of a cyberphysical systems approach for custom manufacturing kiosks
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1547075 - 财政年份:2015
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$ 32.5万 - 项目类别:
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NeTS: Medium: Collaborative Research: Leveraging Physical Layer Advances for the Next Generation Distributed Wireless Channel Access Protocols
NeTS:媒介:协作研究:利用物理层进步实现下一代分布式无线信道接入协议
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1302182 - 财政年份:2013
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Continuing Grant
CPS: Synergy: Collaborative Research: Boolean Microgrid
CPS:协同:协作研究:布尔微电网
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1239116 - 财政年份:2012
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$ 32.5万 - 项目类别:
Standard Grant
CPS: Medium: Collaborative Research: Architecture and Distributed Management for Reliable Mega-scale Smart Grids
CPS:中:协作研究:可靠的超大规模智能电网的架构和分布式管理
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1232601 - 财政年份:2011
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$ 32.5万 - 项目类别:
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CPS: Small: Delays, Clocks, Timing and Reliability in Networked Control Systems: Theories, Protocols and Implementation
CPS:小:网络控制系统中的延迟、时钟、定时和可靠性:理论、协议和实现
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1232602 - 财政年份:2011
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$ 32.5万 - 项目类别:
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CPS: Medium: Collaborative Research: Architecture and Distributed Management for Reliable Mega-scale Smart Grids
CPS:中:协作研究:可靠的超大规模智能电网的架构和分布式管理
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1035340 - 财政年份:2010
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$ 32.5万 - 项目类别:
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1035378 - 财政年份:2010
- 资助金额:
$ 32.5万 - 项目类别:
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相似海外基金
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
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