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
- 来源:
- 关键词:
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)
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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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
- DOI:
10.1007/s10776-011-0148-y - 发表时间:
2011-05-15 - 期刊:
- 影响因子:1.200
- 作者:
Hong-Sam T. Le;Hung D. Ly;Qilian Liang - 通讯作者:
Qilian Liang
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
- DOI:
10.1016/j.jnca.2025.104260 - 发表时间:
2025-10-01 - 期刊:
- 影响因子:8.000
- 作者:
Roopesh Kumar Polaganga;Qilian Liang - 通讯作者:
Qilian Liang
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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