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

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
批准号:
0905408
负责人:
Ness Shroff
金额:
$35.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2013-08-31

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中文摘要
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英文摘要
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.
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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
  • 批准号:
    2312836
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2023
  • 负责人:
    Ness Shroff
  • 依托单位:
AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE)
  • 批准号:
    2112471
  • 项目类别:
    Cooperative Agreement
  • 资助金额:
    $1999.06万
  • 财政年份:
    2021
  • 负责人:
    Ness Shroff
  • 依托单位:
Collaborative Research: CNS Core: Medium: Analytics and Online Optimization at Scale for Cellular Networks
  • 批准号:
    2106933
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2021
  • 负责人:
    Ness Shroff
  • 依托单位:
Collaborative Research: CNS Core: Medium: Information Freshness in Scalable and Energy Constrained Machine to Machine Wireless Networks
  • 批准号:
    2106932
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2021
  • 负责人:
    Ness Shroff
  • 依托单位:
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