NeTS-WN: Collaborative Research: Toward High-Performance Mesh Networks
NeTS-WN:协作研究:迈向高性能网状网络
基本信息
- 批准号:0721313
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-09-01 至 2011-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project studies three fundamental problems to improve the performance of wireless mesh networks. (1) Managing delay and jitter. One fundamental problem affecting the performance of current mesh networks is the hop-by-hop relaying of data, resulting in significant per-hop and per-packet delay and/or jitter. This project designs a new MAC paradigm and a distributed method of scheduling data transmissions in a path-aware manner, to eliminate per-packet delay and jitter while minimizing per-hop delays. (2) Capacity analysis and utility optimization. As an augmentation to the large amount of simulation studies on multi-channelmulti-radio mesh networks, this project develops a general theoretical model to analyze both unicast and broadcast capacities of mesh networks, and applies the model to optimally assign channels to maximize capacity, as well as optimizing application-specific utility functions relevant to user-perceived network performance. (3) Channel assignment for dynamic spectrum access mesh networks. Recent advancement in cognitive radio technology and regulatory reform in spectrum policy offer dynamic spectrum access (DSA) capability to mesh networks via providing dynamically available channels. This project adopts a cross-layer and path-centric approach for assigning dynamic channels inDSA mesh networks to achieve high spectrum utilization and traffic throughput. Through developing innovative protocols, analysis and optimization models, this project promotes development of high-performance multi-radio, multi-channel, and DSA-capable mesh networks. The research on DSA mesh networks potentially facilitates the communication among different emergency management divisions in disaster rescues operations. This project also benefits the underrepresented minority students through education and research.
本项目研究了三个基本问题,以提高无线网状网络的性能。(1)管理延迟和抖动。影响当前网状网络性能的一个基本问题是数据的逐跳中继,导致显著的每跳和每分组延迟和/或抖动。该项目设计了一种新的MAC模式和一种分布式方法,以路径感知的方式调度数据传输,以消除每包延迟和抖动,同时最大限度地减少每跳延迟。(2)容量分析和效用优化。作为对多信道多无线电网状网络大量仿真研究的补充,本项目开发了一个通用的理论模型来分析网状网络的单播和广播容量,并应用该模型优化分配信道以最大化容量,以及优化与用户感知网络性能相关的特定应用的效用函数。(3)动态频谱接入网状网络的信道分配。认知无线电技术的最新进展和频谱政策的监管改革通过提供动态可用信道为网状网络提供了动态频谱接入(DSA)能力。该方案采用跨层和以路径为中心的方法在DSA网状网络中分配动态信道,以实现高频谱利用率和业务吞吐量。 通过开发创新的协议、分析和优化模型,该项目促进了高性能多无线电、多信道和具有DSA能力的网状网络的发展。DSA网状网络的研究为灾害救援行动中不同应急管理部门之间的通信提供了潜在的便利。该项目还通过教育和研究使代表性不足的少数民族学生受益。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Chunsheng Xin其他文献
DeepAuditor: Distributed Online Intrusion Detection System for IoT Devices via Power Side-channel Auditing
DeepAuditor:通过电源侧通道审核的物联网设备分布式在线入侵检测系统
- DOI:
10.1109/ipsn54338.2022.00040 - 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Woosub Jung;Yizhou Feng;S. Khan;Chunsheng Xin;Danella Zhao;Gang Zhou - 通讯作者:
Gang Zhou
A Path-Centric Channel Assignment Framework for Cognitive Radio Wireless Networks
- DOI:
10.1007/s11036-008-0084-y - 发表时间:
2008-07-08 - 期刊:
- 影响因子:2.000
- 作者:
Chunsheng Xin;Liangping Ma;Chien-Chung Shen - 通讯作者:
Chien-Chung Shen
DeepMag: Sniffing Mobile Apps in Magnetic Field through Deep Convolutional Neural Networks
DeepMag:通过深度卷积神经网络嗅探磁场中的移动应用程序
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
R. Ning;Cong Wang;Chunsheng Xin;Jiang Li;Hongyi Wu - 通讯作者:
Hongyi Wu
Chunsheng Xin的其他文献
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{{ truncateString('Chunsheng Xin', 18)}}的其他基金
Intergovernmental Personnel Agreement-Xin
政府间人事协定-鑫
- 批准号:
2241691 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Intergovernmental Personnel Award
EAGER: A Beamforming Optimization Framework for Large Scale mmWave Networks
EAGER:大规模毫米波网络的波束成形优化框架
- 批准号:
1745632 - 财政年份:2017
- 资助金额:
-- - 项目类别:
Standard Grant
REU Site: Cybersecurity Research in a Multidisciplinary Environment
REU 网站:多学科环境中的网络安全研究
- 批准号:
1659795 - 财政年份:2017
- 资助金额:
-- - 项目类别:
Standard Grant
NeTS: Small: RUI: On-Demand Spectrum Access: Application-Oriented Dynamic Spectrum Access
NeTS:小型:RUI:按需频谱接入:面向应用的动态频谱接入
- 批准号:
1418012 - 财政年份:2013
- 资助金额:
-- - 项目类别:
Standard Grant
EARS: Collaborative Research: Enhancing Spectral Access via Directional Spectrum Sensing Employing 3D Cone Filterbanks: Interdisciplinary Algorithms and Prototypes
EARS:协作研究:使用 3D 锥形滤波器组通过定向频谱传感增强频谱访问:跨学科算法和原型
- 批准号:
1418013 - 财政年份:2013
- 资助金额:
-- - 项目类别:
Standard Grant
EARS: Collaborative Research: Enhancing Spectral Access via Directional Spectrum Sensing Employing 3D Cone Filterbanks: Interdisciplinary Algorithms and Prototypes
EARS:协作研究:使用 3D 锥形滤波器组通过定向频谱传感增强频谱访问:跨学科算法和原型
- 批准号:
1247853 - 财政年份:2012
- 资助金额:
-- - 项目类别:
Standard Grant
NeTS: Small: RUI: On-Demand Spectrum Access: Application-Oriented Dynamic Spectrum Access
NeTS:小型:RUI:按需频谱接入:面向应用的动态频谱接入
- 批准号:
1217668 - 财政年份:2012
- 资助金额:
-- - 项目类别:
Standard Grant
NeTS: Small: Collaborative Research: Learning to help: Trading spectrum ownership for performance
NeTS:小型:协作研究:学习帮助:用频谱所有权换取性能
- 批准号:
1017172 - 财政年份:2010
- 资助金额:
-- - 项目类别:
Standard Grant
相似国自然基金
双重高离化处理增强硬质合金上纳米WN膜附着性机理的研究
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- 批准年份:2010
- 资助金额:38.0 万元
- 项目类别:面上项目
相似海外基金
NeTS-WN: Collaborative Research: Toward High-Performance Mesh Networks
NeTS-WN:协作研究:迈向高性能网状网络
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NeTS-WN: Collaborative Research: Toward High-Performance Mesh Networks
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