Collaborative Research: Efficient and Robust Underwater Acoustic Sensor Networks: An Integrated Coding Approach
协作研究:高效、鲁棒的水声传感器网络:集成编码方法
基本信息
- 批准号:1128477
- 负责人:
- 金额:$ 9.2万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-09-01 至 2014-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The objective of this research is to address one of the greatest challenges that hinder the development of underwater sensor networks into practical systems: How to ensure data reliability and delivery efficiency over unreliable acoustic links with large error rates, low available bandwidth, and long propagation delays. The project proposes an integrated coding approach, seamlessly combining digital fountain, and network and channel coding schemes with complementary strengths, across the application, network, and physical layers. The intellectual merit of this project lies in the rigorous study of the underwater network limits and a systematic design of powerful fountain and network coding schemes to address the challenging issues facing underwater sensor networks. The project outcomes will include physical layer network coding theoretical results, novel non-binary fountain codes, sparse linear network codes, and physical-layer network coding schemes for underwater channels, as well as networking protocols for underwater unicast scenarios. The theoretical results, coding, and protocol designs will be evaluated through real world experiments.The broader impact of this project is reflected in two aspects. First, this project is expected to accelerate the development of emerging underwater sensor networks, which will have major impact on scientific communities, national security, and the society as a whole. Second, this project will expose graduate students to new challenging research problems, fostering them to become leading experts in the fast-growing field of underwater acoustic networks. It will also support undergraduates, women and other under-represented groups, allowing them to participate in advanced research and its practical applications.
本研究的目的是解决阻碍水下传感器网络向实际系统发展的最大挑战之一:如何在不可靠的声学链路上确保数据可靠性和传输效率,这些链路具有高错误率、低可用带宽和长传播延迟。该项目提出了一种集成编码方式,将数字喷泉与优势互补的网络和信道编码方案无缝结合,跨越应用层、网络层和物理层。本课题的智力优势在于对水下网络的限制进行了严格的研究,并系统地设计了强大的喷泉和网络编码方案,以解决水下传感器网络面临的挑战性问题。项目成果将包括物理层网络编码理论成果、新颖的非二进制喷泉码、稀疏线性网络编码、水下信道物理层网络编码方案以及水下单播场景的网络协议。理论结果、编码和协议设计将通过真实世界的实验进行评估。该项目的更广泛影响体现在两个方面。首先,该项目有望加速新兴水下传感器网络的发展,这将对科学界、国家安全和整个社会产生重大影响。其次,该项目将使研究生接触到新的具有挑战性的研究问题,培养他们成为快速发展的水声网络领域的领先专家。它还将支持本科生、妇女和其他代表性不足的群体,使他们能够参与高级研究及其实际应用。
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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Zhengdao Wang其他文献
Investigation of flow and heat transfer characteristics around two tandem and side-by-side cylinders using double-distribution lattice Boltzmann method
使用双分布格子玻尔兹曼方法研究两个串联和并排圆柱体周围的流动和传热特性
- DOI:
10.1080/10407782.2024.2372701 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Feng Zhao;Zhengdao Wang;Yikun Wei;Zuchao Zhu - 通讯作者:
Zuchao Zhu
Multiple-Antenna Interference Channels With Real Interference Alignment and Receive Antenna Joint Processing Based on Simultaneous Diophantine Approximation
基于同时丢番图近似的多天线干扰通道真实干扰对准和接收天线联合处理
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:2.5
- 作者:
Mahdi Zamanighomi;Zhengdao Wang - 通讯作者:
Zhengdao Wang
Gene regulatory network inference from perturbed time-series expression data via ordered dynamical expansion of non-steady state actors
通过非稳态参与者的有序动态扩展从扰动的时间序列表达数据中推断基因调控网络
- DOI:
- 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
Mahdi Zamanighomi;M. Zamanian;M. Kimber;Zhengdao Wang - 通讯作者:
Zhengdao Wang
Estimating high-dimensional covariance matrices with misses for Kronecker product expansion models
估计克罗内克乘积展开模型的未命中高维协方差矩阵
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Mahdi Zamanighomi;Zhengdao Wang;G. Giannakis - 通讯作者:
G. Giannakis
Vortex structure and small scale characteristics in turbulent Rayleigh– Bénard convection with mixed isothermal-adiabatic bottom boundary
等温-绝热混合底边界湍流瑞利-贝纳德对流中的涡结构和小尺度特征
- DOI:
10.1063/5.0129984 - 发表时间:
- 期刊:
- 影响因子:1.6
- 作者:
Zhengdao Wang;Xinghang Cui;Yikun Wei;Hui Yang;Yuehong Qian - 通讯作者:
Yuehong Qian
Zhengdao Wang的其他文献
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{{ truncateString('Zhengdao Wang', 18)}}的其他基金
Intergovernmental Personnel Act - IPA Assignment
政府间人事法 - IPA 分配
- 批准号:
2013787 - 财政年份:2020
- 资助金额:
$ 9.2万 - 项目类别:
Intergovernmental Personnel Award
EAGER: Models, analytics, and algorithms for data driven applications
EAGER:数据驱动应用程序的模型、分析和算法
- 批准号:
1523374 - 财政年份:2015
- 资助金额:
$ 9.2万 - 项目类别:
Standard Grant
Collaborative Research: Underwater Distributed Antennas Systems: Fundamental Limits and Practical Designs
合作研究:水下分布式天线系统:基本限制和实际设计
- 批准号:
1308419 - 财政年份:2013
- 资助金额:
$ 9.2万 - 项目类别:
Standard Grant
CIF: Small: Degree of Freedom Region of Interference Networks
CIF:小:干扰网络的自由度区域
- 批准号:
1218951 - 财政年份:2012
- 资助金额:
$ 9.2万 - 项目类别:
Standard Grant
Space-Time Transmitter and Receiver Design with Delay Constraints
具有延迟约束的时空发射机和接收机设计
- 批准号:
0431092 - 财政年份:2004
- 资助金额:
$ 9.2万 - 项目类别:
Standard Grant
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