EAGER: NeTS: Under-Ice Mobile Networking: Exploratory Study of Network Cognition and Mobility Control

EAGER：NetS：冰下移动网络：网络认知和移动控制的探索性研究

基本信息

批准号：
1551067
负责人：
Min Song
金额：
$ 29.97万
依托单位：
Michigan Technological University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2015
资助国家：
美国
起止时间：
2015-09-01 至 2018-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1551067&HistoricalAwards=false
关键词：
EAGER NeTS Under Ice Mobile

项目摘要

Autonomous underwater vehicles (AUVs) with acoustic communication capabilities are the platform of choice for under-ice exploration. Different from commonly studied open-water environment, the sound speed in the under-ice environment exhibits an increasing trend with water depth, which renders sound propagation shadowing and multiple reflections by the ice cover. Such acoustic environment characteristics have to be judiciously accounted in under-ice acoustic communication systems, which otherwise could lead to severe communication disconnection as observed in field experiments. This project focuses on an under-ice AUV network that migrates as a swarm for water sampling in an unknown ice-covered region, and develops algorithms for AUVs to learn the under-ice acoustic environment and adapt AUV mobility to the characteristics of the acoustic environment and the water sample field to achieve optimal under-ice mission performance while maintaining desired acoustic connectivity. This project will expand the frontier of under-ice exploration by autonomous vehicles. Given the vital role of ice-covered regions in many underpinning factors of modern society, such as economic growth and scientific research, this project will yield significant socio-economic impacts. In addition, the project will support two Ph.D. dissertations, and involve junior researchers in both algorithm development and field experiments. This project will innovate over two interrelated domains: under-ice acoustic environment and network cognition, and adaptive AUV mobility control. Specifically, a recursive algorithm will be developed to estimate the environment parameters pertaining to acoustic propagation, as well as the network state (including AUV positions and velocities), leveraging the acoustic measurements obtained during packet transmissions within the AUV network. The estimated parameters will characterize under-ice acoustic field for AUV mobility control. Moreover, an adaptive algorithm will be designed to adjust the mobility of AUVs to the acoustic field and the water sample field, with a goal of minimizing the sample field estimation error while ensuring desired acoustic connectivity among the AUVs. The developed algorithms will be evaluated via simulations and offline experiment data processing. Within an about 10-month ice-cover period of local lakes in this project, extensive under-ice experiments will be conducted under a wide range of geometric and environment conditions. This project will develop and showcase fundamental and crosscutting techniques for under-ice AUV mobile networking, underlying the synergy of environment cognition, statistical signal processing, and wireless mobile networking.

具有声通信功能的自动水下车辆（AUV）是冰探索的首选平台。与经常研究的开放水环境不同，冰冰环境中的音速随水深度的趋势越来越多，这使得冰盖的声音传播阴影和多次反射。这种声学环境特征必须明智地考虑到冰的声学通信系统，否则可能会导致严重的通信断开连接，如现场实验中所观察到的那样。该项目着重于一个冰的AUV网络，该网络是在未知的冰覆盖的地区作为水采样的群体迁移，并为AUV的学习算法开发了学习冰底冰的声学环境，并将AUV移动性适应了声学环境的特征。以及水样场以实现最佳的冰底透式任务性能，同时保持所需的声学连通性。该项目将扩大自动驾驶汽车冰探索的边界。鉴于被冰覆盖的地区在现代社会的许多基础因素（例如经济增长和科学研究）中的重要作用，该项目将产生重大的社会经济影响。此外，该项目将支持两位博士学位。论文，并涉及初级研究人员参与算法开发和现场实验。该项目将在两个相互关联的领域上进行创新：冰冰声环境和网络认知以及自适应AUV移动性控制。具体而言，将开发递归算法来估计与声学传播有关的环境参数，以及网络状态（包括AUV位置和速度），利用AUV网络中数据包传输过程中获得的声学测量值。估计的参数将表征用于AUV迁移率控制的冰质声场。此外，将设计一种自适应算法，以调整AUV对声场和水样场的迁移率，以最大程度地减少样品场估计误差，同时确保AUV之间所需的声学连接。开发的算法将通过模拟和离线实验数据处理评估。在该项目的当地湖泊的大约10个月的冰覆盖时期内，将在各种几何和环境条件下进行大量的冰质实验。该项目将开发并展示针对冰冰auv移动网络的基本和横切技术，这是环境认知，统计信号处理和无线移动网络的协同作用的基础。

项目成果

期刊论文数量（8）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Exploring Simulation of Software-Defined Underwater Wireless Networks

DOI：
10.1145/3148675.3148720
发表时间：
2017-11
期刊：
Proceedings of the 12th International Conference on Underwater Networks & Systems
影响因子：
0
作者：
Li Wei;Yuxin Tang;Y. Cao;Zhaohui Wang;M. Gerla
通讯作者：
Li Wei;Yuxin Tang;Y. Cao;Zhaohui Wang;M. Gerla

Receiver design for spread-spectrum communications with a small spread in underwater clustered multipath channels

水下集群多径信道中小扩展扩频通信的接收机设计