NeTS-Medium: Collaborative Research: Unifying Network Coding and Cross-Layer Optimization for Wireless Mesh Networks: From Theory to Distributed Algorithms to Implementation

NeTS-Medium:协作研究:统一无线网状网络的网络编码和跨层优化:从理论到分布式算法再到实现

基本信息

项目摘要

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Wireless mesh networks promise a flexible and cost-effective solution for bringing high-bandwidth low-latency applications to the home. Two orthogonal but immensely attractive approaches for designing high-performance mesh networks are network coding and cross-layer optimization. The former exploits the interfering wireless media as a broadcast channel by ingenious information processing, while the latter intelligently allocates and shares network resources across the layers. This project investigates the long-overdue and highly challenging synergistic union of network coding and cross-layer optimization. The characterization of intersession network coding (INC), coding across different network flows, is NP-hard. Nonetheless, the problem can be made tractable under important practical settings. Based on new path-based characterizations, this project rigorously quantifies the network capacity in presence of different practical INC schemes. A new network-coding based cross-layer paradigm is developed for controlling mesh networks that takes into account practical considerations such as robustness, scalability, and time-varying wireless broadcast environment. New distributed, low-overhead protocols are constructed and validated over a mesh testbed on the Purdue University campus. Undergraduates and under-represented students are actively recruited for the project. Research results are disseminated via the web and through publications in conferences and journals. The results of the project, spanning from theoretic exploration to protocol deployment on a practical testbed lead to the significant performance gains necessary to realize the full capability of mesh networks, which in turn has the potential to revolutionize the telecommunications industry.
该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。无线网状网络承诺为家庭带来高带宽低延迟应用提供灵活且经济高效的解决方案。网络编码和跨层优化是设计高性能网状网络的两种正交但极具吸引力的方法。前者通过巧妙的信息处理将干扰无线媒体作为广播信道,而后者则在各层之间智能地分配和共享网络资源。该项目研究了网络编码和跨层优化的长期期待和极具挑战性的协同联盟。会话间网络编码(INC)的特点,编码不同的网络流,是NP-难的。 尽管如此,在重要的实际情况下,这个问题还是可以处理的。基于新的路径为基础的特征,该项目严格量化的网络容量存在不同的实际INC计划。一种新的网络编码为基础的跨层范式的开发控制网格网络,考虑到实际的考虑,如鲁棒性,可扩展性,和随时间变化的无线广播环境。新的分布式、低开销协议在普渡大学校园的网状测试平台上构建和验证。该项目积极招募本科生和代表性不足的学生。研究成果通过网络以及会议和期刊上的出版物传播。该项目的结果,从理论探索到实际测试平台上的协议部署,导致实现网状网络的全部功能所需的显着性能增益,这反过来又有可能彻底改变电信行业。

项目成果

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Ness Shroff其他文献

Performance analysis of virtual circuit connections for bursty data sources in ATM networks
  • DOI:
    10.1007/bf02024995
  • 发表时间:
    1992-08-01
  • 期刊:
  • 影响因子:
    4.500
  • 作者:
    Ness Shroff;Magda El Zarki
  • 通讯作者:
    Magda El Zarki

Ness Shroff的其他文献

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{{ truncateString('Ness Shroff', 18)}}的其他基金

Collaborative Research: NeTS: Medium: Black-box Optimization of White-box Networks: Online Learning for Autonomous Resource Management in NextG Wireless Networks
合作研究:NeTS:中:白盒网络的黑盒优化:下一代无线网络中自主资源管理的在线学习
  • 批准号:
    2312836
  • 财政年份:
    2023
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE)
未来边缘网络和分布式智能人工智能研究所 (AI-EDGE)
  • 批准号:
    2112471
  • 财政年份:
    2021
  • 资助金额:
    $ 35万
  • 项目类别:
    Cooperative Agreement
Collaborative Research: CNS Core: Medium: Analytics and Online Optimization at Scale for Cellular Networks
合作研究:CNS 核心:中:蜂窝网络大规模分析和在线优化
  • 批准号:
    2106933
  • 财政年份:
    2021
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Medium: Information Freshness in Scalable and Energy Constrained Machine to Machine Wireless Networks
合作研究:CNS 核心:中:可扩展且能量受限的机器对机器无线网络中的信息新鲜度
  • 批准号:
    2106932
  • 财政年份:
    2021
  • 资助金额:
    $ 35万
  • 项目类别:
    Continuing Grant
RAPID: Acoustic Communications and Sensing for COVID-19 Data Collection
RAPID:用于 COVID-19 数据收集的声学通信和传感
  • 批准号:
    2028547
  • 财政年份:
    2020
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Medium: Combating Latency and Disconnectivity in mmWave Networks: From Theory to Implementation
合作研究:CNS 核心:中:对抗毫米波网络中的延迟和断开连接:从理论到实施
  • 批准号:
    1955535
  • 财政年份:
    2020
  • 资助金额:
    $ 35万
  • 项目类别:
    Continuing Grant
CNS Core: Small: New Caching Paradigms for Distributed and Dynamic Networks
CNS 核心:小型:分布式和动态网络的新缓存范例
  • 批准号:
    2007231
  • 财政年份:
    2020
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
CNS Core: Medium: Collaborative: Exploring and Exploiting Learning for Efficient Network Control: Non-Stationarity, Inter-Dependence, and Domain-Knowledge
CNS 核心:中:协作:探索和利用学习实现高效网络控制:非平稳性、相互依赖和领域知识
  • 批准号:
    1901057
  • 财政年份:
    2019
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
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
  • 批准号:
    1719371
  • 财政年份:
    2017
  • 资助金额:
    $ 35万
  • 项目类别:
    Continuing Grant
CSR: NeTS: Small: Theoretical Foundations for Cache Networks: Performance Models, Algorithms, and Applications
CSR:NeTS:小型:缓存网络的理论基础:性能模型、算法和应用
  • 批准号:
    1717060
  • 财政年份:
    2017
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant

相似海外基金

Collaborative Research: NeTS: Medium: EdgeRIC: Empowering Real-time Intelligent Control and Optimization for NextG Cellular Radio Access Networks
合作研究:NeTS:媒介:EdgeRIC:为下一代蜂窝无线接入网络提供实时智能控制和优化
  • 批准号:
    2312978
  • 财政年份:
    2023
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Collaborative Research: NeTS: Medium: Towards High-Performing LoRa with Embedded Intelligence on the Edge
协作研究:NeTS:中:利用边缘嵌入式智能实现高性能 LoRa
  • 批准号:
    2312676
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    2023
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Collaborative Research: NeTS: Medium: Black-box Optimization of White-box Networks: Online Learning for Autonomous Resource Management in NextG Wireless Networks
合作研究:NeTS:中:白盒网络的黑盒优化:下一代无线网络中自主资源管理的在线学习
  • 批准号:
    2312835
  • 财政年份:
    2023
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
Collaborative Research: NeTS: Medium: An Integrated Multi-Time Scale Approach to High-Performance, Intelligent, and Secure O-RAN based NextG
合作研究:NeTS:Medium:基于 NextG 的高性能、智能和安全 O-RAN 的集成多时间尺度方法
  • 批准号:
    2312447
  • 财政年份:
    2023
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
Collaborative Research: NeTS: Medium: Large Scale Analysis of Configurations and Management Practices in the Domain Name System
合作研究:NetS:中型:域名系统配置和管理实践的大规模分析
  • 批准号:
    2312711
  • 财政年份:
    2023
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
Collaborative Research: NeTS: Medium: Black-box Optimization of White-box Networks: Online Learning for Autonomous Resource Management in NextG Wireless Networks
合作研究:NeTS:中:白盒网络的黑盒优化:下一代无线网络中自主资源管理的在线学习
  • 批准号:
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    $ 35万
  • 项目类别:
    Standard Grant
Collaborative Research: NeTS: Medium: Black-box Optimization of White-box Networks: Online Learning for Autonomous Resource Management in NextG Wireless Networks
合作研究:NeTS:中:白盒网络的黑盒优化:下一代无线网络中自主资源管理的在线学习
  • 批准号:
    2312834
  • 财政年份:
    2023
  • 资助金额:
    $ 35万
  • 项目类别:
    Standard Grant
Collaborative Research: NeTS: Medium: An Integrated Multi-Time Scale Approach to High-Performance, Intelligent, and Secure O-RAN based NextG
合作研究:NeTS:Medium:基于 NextG 的高性能、智能和安全 O-RAN 的集成多时间尺度方法
  • 批准号:
    2312448
  • 财政年份:
    2023
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Collaborative Research: NeTS: Medium: Towards High-Performing LoRa with Embedded Intelligence on the Edge
协作研究:NeTS:中:利用边缘嵌入式智能实现高性能 LoRa
  • 批准号:
    2312674
  • 财政年份:
    2023
  • 资助金额:
    $ 35万
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    Standard Grant
Collaborative Research: NeTS: Medium: Large Scale Analysis of Configurations and Management Practices in the Domain Name System
合作研究:NetS:中型:域名系统配置和管理实践的大规模分析
  • 批准号:
    2312710
  • 财政年份:
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  • 资助金额:
    $ 35万
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    Standard Grant
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