Collaborative Research: NOSS: Autonomous Mobile Underwater SEnsor networks (AMUSE): Design and Applications

合作研究:NOSS:自主移动水下传感器网络(AMUSE):设计和应用

基本信息

  • 批准号:
    0721515
  • 负责人:
  • 金额:
    $ 22.22万
  • 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:
    2007-08-01 至 2011-07-31
  • 项目状态:
    已结题

项目摘要

This project investigates the design and applications of Autonomous Mobile Underwater SEnsor networks (AMUSE) consisting of a variable number of sonars (sensors) and vehicles that are deployed to perform collaborative tasks over a given area. Underwater acoustic sensor networks (UWA-SNs) are envisioned to enable applications for environmental monitoring of physical and chemical/biological indicators, tactical surveillance, disaster prevention, undersea exploration, and assisted navigation, etc. The major tasks under exploration include UWA-SN self-organization and deployment, self-reconfiguring (MAC, physical layer, and cross-layer design), and mission-aware waveform design/diversity with applications to target recognition, target tracking, and event detection. The AMUSE project is motivated by and targets to solve the following challenges: 1) the sensors in UWA-SN are expensive and mobile, therefore sound self-organization and self-deployment algorithms are needed; 2) waveform design and diversity for UWA-SNs with active sonars are still in its infancy; 3) the transmit and receive data rates are highly asymmetric, which requires new MAC layer design; 4) the underwater channel is impaired by fading, multipath, and doppler shift; 5) the GPS receivers do not work properly in underwater, thus new localization/navigation algorithms are required.The success of the AMUSE project is able to benefit the two areas of urgent national interests: (1) Instrumentation for monitoring/prediction of natural ocean disasters including storm surges, hurricanes, tsunami, etc. (2) Harbor environments and security. In addition, this project can serve as a vehicle to promote cross-disciplinary graduate and undergraduate research and education, and to encourage the participation of under-represented and female students.
该项目研究了自主移动的水下传感器网络(AMUSE)的设计和应用,该网络由可变数量的声纳(传感器)和车辆组成,这些声纳和车辆被部署在给定区域内执行协作任务。 水下声传感器网络(UWA-SNs)被设想为使物理和化学/生物指示物的环境监测、战术监视、灾害预防、海底探测和辅助导航等应用成为可能。 正在探索的主要任务包括UWA-SN自组织和部署,自重新配置(MAC,物理层和跨层设计),以及任务感知波形设计/多样性与目标识别,目标跟踪和事件检测的应用。AMUSE项目的动机和目标是解决以下挑战:1)UWA-SN中的传感器昂贵且移动的,因此需要良好的自组织和自部署算法; 2)具有主动声纳的UWA-SN的波形设计和多样性仍处于起步阶段; 3)发送和接收数据速率高度不对称,这需要新的MAC层设计; 4)水下信道受衰落、多径和多普勒频移的影响; 5)GPS接收机在水下不能正常工作,因此需要新的定位/导航算法。AMUSE项目的成功能够使两个迫切的国家利益领域受益:(1)风暴潮、飓风、海啸等海洋自然灾害的监测/预测仪器。(2)港口环境与安全。此外,该项目可以作为一种工具,促进跨学科的研究生和本科生的研究和教育,并鼓励代表性不足的学生和女生的参与。

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Qilian Liang其他文献

Representation Learning and Nature Encoded Fusion for Heterogeneous Sensor Networks
异构传感器网络的表示学习和自然编码融合
  • DOI:
    10.1109/access.2019.2907256
  • 发表时间:
    2019-03
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Longwei Wang;Qilian Liang
  • 通讯作者:
    Qilian Liang
Exciting-Inhibition Network for Person Reidentification in Internet of Things
物联网中人员重新识别的兴奋抑制网络
  • DOI:
    10.1109/jiot.2020.3036821
  • 发表时间:
    2021-10
  • 期刊:
  • 影响因子:
    10.6
  • 作者:
    Meixia Fu;Qiang Liu;Qilian Liang;Xiaoyun Tong;Songlin Sun
  • 通讯作者:
    Songlin Sun
Nested sparse sampling and co-prime sampling in sense-through-foliage target detection
叶子目标检测中的嵌套稀疏采样和互质采样
  • DOI:
    10.1016/j.phycom.2014.02.001
  • 发表时间:
    2014-12
  • 期刊:
  • 影响因子:
    2.2
  • 作者:
    Na Wu;Qilian Liang
  • 通讯作者:
    Qilian Liang
Opportunistic Spectrum Access Using Fuzzy Logic for Cognitive Radio Networks
Predictive modeling of RRC inactive transitions and latency impacts for energy optimization in live NR SA networks
用于实时 NR SA 网络中能量优化的 RRC 非活跃转变和延迟影响的预测建模

Qilian Liang的其他文献

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{{ truncateString('Qilian Liang', 18)}}的其他基金

SHF: Small: Energy and Computational Efficient Deep Generative AI Models via Emerging Devices, Circuits, and Architectures
SHF:小型:通过新兴设备、电路和架构实现能源和计算高效的深度生成人工智能模型
  • 批准号:
    2219753
  • 财政年份:
    2022
  • 资助金额:
    $ 22.22万
  • 项目类别:
    Standard Grant
Collaborative Research: Spectrum Efficient Waveform Design with Application to Wireless Networks
合作研究:频谱效率波形设计及其在无线网络中的应用
  • 批准号:
    1247848
  • 财政年份:
    2012
  • 资助金额:
    $ 22.22万
  • 项目类别:
    Standard Grant
NeTS: Small: Smart Grid Wireless Networks: Capacity and Achievability
NeTS:小型:智能电网无线网络:容量和可实现性
  • 批准号:
    1116749
  • 财政年份:
    2011
  • 资助金额:
    $ 22.22万
  • 项目类别:
    Standard Grant
RAPID: Collaborative Research: Gulf of Mexico Oil Spill Impact on Beach Soil: Radar and Radar Sensor Network-Based Approaches
RAPID:合作研究:墨西哥湾漏油对海滩土壤的影响:雷达和基于雷达传感器网络的方法
  • 批准号:
    1050618
  • 财政年份:
    2010
  • 资助金额:
    $ 22.22万
  • 项目类别:
    Standard Grant
NeTS: Medium: Collaborative Research: Opportunistic and Compressive Sensing in Wireless Sensor Networks
NeTS:媒介:协作研究:无线传感器网络中的机会和压缩感知
  • 批准号:
    0964713
  • 财政年份:
    2010
  • 资助金额:
    $ 22.22万
  • 项目类别:
    Continuing Grant
EAGER: Heterogeneous Sensor Network Design and Information Integration
EAGER:异构传感器网络设计和信息集成
  • 批准号:
    0956438
  • 财政年份:
    2009
  • 资助金额:
    $ 22.22万
  • 项目类别:
    Standard Grant
Collaborative Research: NEDG: Throughput Optimization in Wireless Mesh Networks
合作研究:NEDG:无线网状网络的吞吐量优化
  • 批准号:
    0831902
  • 财政年份:
    2008
  • 资助金额:
    $ 22.22万
  • 项目类别:
    Standard Grant

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NeTS NOSS: Collaborative Research: Towards Robust and Self-Healing Heterogeneous Wireless Sensor Networks
NetS NOSS:协作研究:迈向稳健且自我修复的异构无线传感器网络
  • 批准号:
    0963578
  • 财政年份:
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Collaborative Research: NeTS-NOSS: Distributed Algorithms for Sensor-Aided Directories to Mobile Objects
合作研究:NeTS-NOSS:移动对象传感器辅助目录的分布式算法
  • 批准号:
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  • 财政年份:
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Collaborative Research NeTS-NOSS: SEA-Swarm: A Rapidly Deployable Underwater Sensor Network
协作研究 NetS-NOSS:SEA-Swarm:可快速部署的水下传感器网络
  • 批准号:
    0722046
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Collaborative Research-NeTS-NOSS: AutoNomouS netWorked sEnsoR systems (ANSWER)
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NetS-NOSS:协作研究:节能分布式传感器网络控制:理论到实现
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NeTS-NOSS: Collaborative Research: LEAPNET: Self-adaptable All Terrain Sensor Networks
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