Experimental Characterization of Underwater Visible Light Channels for Photo-Acoustic Underwater Communication
用于水下光声通信的水下可见光通道的实验表征
基本信息
- 批准号:2000475
- 负责人:
- 金额:$ 25.72万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-02-01 至 2023-01-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Much of underwater wireless communication, so far, has been attributed to the use of acoustic frequencies due to the significantly low absorption than radio frequencies (RF). Ongoing advances in using light for communication through the concept of visible light communication (VLC) make optical wireless relevant to advancing the state--of--the-- art in underwater wireless communication systems. The optical spectrum presents a favorable mode for communicating underwater due to the low signal absorption levels, particularly in the ultraviolet, violet, blue and green wavelengths. Prior work in underwater VLC has largely been theoretical and this research takes a radical high-risk approach to develop empirical models for underwater VLC across real-world configurations and settings. The research takes a transformative approach and explores photo-acoustic hybrid communication in which acoustic and optical wireless communication modes co-exist and complement each other. Photo-acoustic underwater communication modalities can help advance plethora of applications including underwater navigation, exploration, sensing and tactical communications. This research advances the field of underwater networking by bridging the knowledge gap in building realistic underwater photo-acoustic systems through extensive experimentation in real-world conditions and creates a rich open public dataset. This research maintains a strategic collaboration with the Gwinnett County Water Innovation Center near Atlanta, Georgia, thus expanding the outreach of this work and advancing underwater research using advanced facilities. In addition to dissemination of research outcomes through publications, the research involves female student groups from the university Girls-Who-Code (GWC) chapter in underwater research data collection and experiments.The intellectual merits of this research are derived along two thrusts executed over a 2-year timeline: Thrust 1 - Empirical Modeling of Underwater VLC Channels. This thrust focuses on extensive underwater channel modeling experimentation and data collection in lab and real-world underwater sites. The data points are used to perform empirical modeling of underwater VLC channels along various spatial dimensions (horizontal, vertical, line-of-sight, non line-of-sight), along different physical parameters (salinity, turbidity, temperature and oiliness), and in mobile scenarios. Thrust 2 - Photo-Acoustic Underwater Communication Feasibility Studies. This thrust focuses on the feasibility of integrating the hardware and software of optical wireless (UV and VLC), with acoustic systems. The research conducts experiments across different use-cases for photo-acoustic communication and sensing, particularly for navigation and tracking and device-device communication. In summary, the key outcomes of this research include empirical models for underwater VLC channels, insights from photo-acoustic communication feasibility experimental studies and open datasets for underwater VLC.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
到目前为止,由于吸收明显低于无线电频率(RF),因此使用声频率的大部分无线通信归因于使用声频率。通过可见光通信(VLC)的概念使用光进行通信的持续进展使光学无关与水下无线通信系统中的艺术相关。由于信号吸收水平较低,尤其是在紫外线,紫罗兰,蓝色和绿色波长中,因此光谱范围是一种有利的模式,可以通过低信号吸收水平进行水下通信。水下VLC的先前工作在很大程度上是理论上的,这项研究采用了一种激进的高风险方法来开发跨实际配置和设置的水下VLC的经验模型。这项研究采用了一种变革性的方法,并探讨了光声混合通信,其中声学和光学无线通信模式共存并相互补充。 照片声音水下沟通方式可以帮助推进大量应用,包括水下导航,勘探,传感和战术通信。这项研究通过在现实情况下进行广泛的实验来建立现实的水下光声系统,在建立现实的水下光声系统中弥合知识差距,从而在水下网络的领域中发展,并创建一个丰富的开放公共数据集。这项研究与佐治亚州亚特兰大附近的格温内特县水创新中心保持了战略合作,从而扩大了这项工作的宣传,并使用先进的设施进行了水下研究。除了通过出版物传播研究成果外,该研究还涉及来自水下研究数据收集和实验的大学女生(GWC)章节的女学生群体。这项研究的智力优点沿着两年的时间表执行的两个推力:TOLLUST 1-推力1-下水中VLC通道的经验模型。这种推力着重于实验室和现实水下站点中广泛的水下通道建模实验和数据收集。数据点用于沿着不同的物理参数(盐度,浊度,浊度,温度和油性)以及在移动方案中对水下VLC通道进行经验建模(水平,垂直,视线,非视线线)。推力2-光声水下通信可行性研究。这种推力重点是将光学无线(UV和VLC)硬件和软件(uv和vlc)与声学系统集成在一起的可行性。该研究进行了跨不同用例的实验,以进行照片声音通信和传感,尤其是用于导航,跟踪以及设备设备的通信。总而言之,这项研究的主要结果包括用于水下VLC渠道的经验模型,来自光声传播可行性实验研究的见解以及用于水下VLC的开放数据集。该奖项反映了NSF的法定任务,并被认为是通过基金会的知识绩效和广泛影响的评估来评估的值得一提的。
项目成果
期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
iDehaze: Supervised Underwater Image Enhancement and Dehazing via Physically Accurate Photorealistic Simulations
- DOI:10.3390/electronics12112352
- 发表时间:2023-05
- 期刊:
- 影响因子:2.9
- 作者:Mehdi Mousavi;Rolando Estrada;A. Ashok
- 通讯作者:Mehdi Mousavi;Rolando Estrada;A. Ashok
Communication for Underwater Sensor Networks: A Comprehensive Summary
- DOI:10.1145/3546827
- 发表时间:2023-02-01
- 期刊:
- 影响因子:4.1
- 作者:Pal, Amitangshu;Campagnaro, Filippo;Guo, Hongzhi
- 通讯作者:Guo, Hongzhi
Poster: A Vehicular Visible Light Communication Testbed Platform for Research and Teaching
海报:用于研究和教学的车载可见光通信测试平台
- DOI:10.1109/mass52906.2021.00101
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Cain, Jarred;Ashok, Ashwin
- 通讯作者:Ashok, Ashwin
OpenWaters: Photorealistic Simulations For Underwater Computer Vision
- DOI:10.1145/3491315.3491336
- 发表时间:2021-11
- 期刊:
- 影响因子:0
- 作者:Mehdi Mousavi;Shardul Vaidya;Razat Sutradhar;A. Ashok
- 通讯作者:Mehdi Mousavi;Shardul Vaidya;Razat Sutradhar;A. Ashok
An Empirical Study of Deep Learning Models for LED Signal Demodulation in Optical Camera Communication
- DOI:10.3390/network1030016
- 发表时间:2021-10
- 期刊:
- 影响因子:0
- 作者:Abdul Haseeb Ahmed;Sethuraman Trichy Viswanathan;Md. Rashed Rahman;A. Ashok
- 通讯作者:Abdul Haseeb Ahmed;Sethuraman Trichy Viswanathan;Md. Rashed Rahman;A. Ashok
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Ashwin Ashok其他文献
Feudal Networks for Visual Navigation
用于视觉导航的封建网络
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Faith Johnson;Bryan Bo Cao;Kristin J. Dana;Shubham Jain;Ashwin Ashok - 通讯作者:
Ashwin Ashok
Dynamic Element Allocation for Optical IRS-Assisted Underwater Wireless Communication System
光IRS辅助水下无线通信系统的动态元件分配
- DOI:
10.1109/globecom54140.2023.10436776 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Rehana Salam;Anand Srivastava;V. Bohara;Ashwin Ashok - 通讯作者:
Ashwin Ashok
Soil Moisture Sensing Using Zoomed-in Camera Images at Close Proximity
使用近距离放大相机图像进行土壤湿度传感
- DOI:
10.1109/icscc59169.2023.10335080 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Chan Aek Panichvatana;Ashwin Ashok - 通讯作者:
Ashwin Ashok
A Landmark-Aware Visual Navigation Dataset
地标感知视觉导航数据集
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Faith Johnson;Bryan Bo Cao;Kristin J. Dana;Shubham Jain;Ashwin Ashok - 通讯作者:
Ashwin Ashok
A Framework for Classifying Applications from Raw Network Traffic Traces
根据原始网络流量跟踪对应用程序进行分类的框架
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Alireza Marefat;Abbaas Alif Mohamed Nishar;Ashwin Ashok - 通讯作者:
Ashwin Ashok
Ashwin Ashok的其他文献
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{{ truncateString('Ashwin Ashok', 18)}}的其他基金
CAREER: Towards Practical Mobile Visible Light Communication
职业:迈向实用的移动可见光通信
- 批准号:
2146267 - 财政年份:2022
- 资助金额:
$ 25.72万 - 项目类别:
Continuing Grant
Collaborative Research: CCRI: Planning: A Visible Light Communication (VLC) Testbed for Next Generation Wireless Research
合作研究:CCRI:规划:下一代无线研究的可见光通信 (VLC) 测试平台
- 批准号:
2120422 - 财政年份:2021
- 资助金额:
$ 25.72万 - 项目类别:
Standard Grant
REU Site: Developing Smart and Autonomous Internet-of-Things Systems
REU 网站:开发智能和自主物联网系统
- 批准号:
1950778 - 财政年份:2020
- 资助金额:
$ 25.72万 - 项目类别:
Standard Grant
CNS Core: Medium: Collaborative: Reality-Aware Networks
CNS 核心:媒介:协作:现实感知网络
- 批准号:
1901133 - 财政年份:2019
- 资助金额:
$ 25.72万 - 项目类别:
Continuing Grant
NSF Student Travel Grant for 2018 IEEE Vehicular Networking Conference (VNC)
2018 年 IEEE 车辆网络会议 (VNC) NSF 学生旅费资助
- 批准号:
1851112 - 财政年份:2018
- 资助金额:
$ 25.72万 - 项目类别:
Standard Grant
CRII: NeTS: Towards Ultra-High-Speed Mobile Visible Light Communication
CRII:NeTS:迈向超高速移动可见光通信
- 批准号:
1755925 - 财政年份:2018
- 资助金额:
$ 25.72万 - 项目类别:
Standard Grant
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