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

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,大部分水下无线通信都归因于声波频率的使用,因为声波频率的吸收率比射频 (RF) 低得多。通过可见光通信 (VLC) 概念使用光进行通信的不断进步使得光无线与推进水下无线通信系统的最新技术相关。由于信号吸收水平较低,特别是在紫外线、紫色、蓝色和绿色波长中,光谱为水下通信提供了有利的模式。水下 VLC 的先前工作主要是理论性的,本研究采用激进的高风险方法来开发跨现实世界配置和设置的水下 VLC 的经验模型。该研究采取变革性的方法,探索光声混合通信,其中声学和光学无线通信模式共存并相互补充。 光声水下通信方式可以帮助推进众多应用,包括水下导航、勘探、传感和战术通信。这项研究通过在现实条件下进行广泛的实验,弥合构建真实水下光声系统的知识差距,并创建了丰富的开放公共数据集,从而推动了水下网络领域的发展。这项研究与佐治亚州亚特兰大附近的格威内特县水创新中心保持战略合作,从而扩大了这项工作的范围,并利用先进设施推进水下研究。除了通过出版物传播研究成果外,该研究还涉及大学 Girls-Who-Code (GWC) 分会的女学生团体参与水下研究数据收集和实验。这项研究的智力价值源自于在2 年时间表:推力 1 - 水下 VLC 通道的经验建模。该重点关注实验室和现实水下场所的广泛水下通道建模实验和数据收集。这些数据点用于沿着不同的空间维度(水平、垂直、视线、非视线)、沿着不同的物理参数(盐度、浊度、温度和油度)对水下 VLC 通道进行经验建模,以及在移动场景中。 Thrust 2 - 光声水下通信可行性研究。该重点关注将光学无线(UV 和 VLC)的硬件和软件与声学系统集成的可行性。该研究针对光声通信和传感的不同用例进行了实验,特别是导航和跟踪以及设备间通信。总之,这项研究的主要成果包括水下 VLC 通道的经验模型、光声通信可行性实验研究的见解以及水下 VLC 的开放数据集。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准。

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
OpenWaters: Photorealistic Simulations For Underwater Computer Vision
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
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
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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