Collaborative Research: CyberSEES: Type 1: A Pilot Study on Cognitive Acoustic Underwater Networks (CAUNet) for Sustainable Ocean Monitoring and Exploration

合作研究：Cyber​​SEES：类型 1：用于可持续海洋监测和探索的认知声学水下网络 (CAUNet) 试点研究

• 批准号: 1331632
• 负责人: Wei Cheng
• 金额: $ 10万
• 依托单位: University of Massachusetts Lowell
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2014-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1331632&HistoricalAwards=false
• 关键词: Collaborative; Research; CyberSEES; Type; Pilot

Environmental awareness is a key to sustainable ocean monitoring and exploration. To meet the ever growing requirements of the ocean monitoring and exploration applications, and to preserve a sustainable blue ocean for next generations, a cognitive acoustic underwater network (CAUNet) that is aware of the coexistence of multiple underwater acoustic systems will be designed. The project goals include investigating acoustic spectrum usage via data collection and analysis, designing algorithms, software and hardware for acoustic spectrum sensing and spectrum management, and evaluating the feasibility and performance of the proposed work via simulations, and lab and field experiments. This project will make significant contributions to the underwater network research community by improving the efficiency of UANs while making them more environmentally friendly. The research activities in this project also provide a rich environment and platform that can facilitate educating and training students from high school to graduate level and inspire students in underrepresented groups to pursue research in science and engineering. Moreover, this project will motivate and enable a wide range of research and outreach activities within the underwater communications, networking, engineering, and marine science communities, and promote progress towards practical solutions in diverse aquatic applications.

环境意识是可持续的海洋监测和勘探的关键。为了满足日益增长的海洋监测和勘探应用的需求，并为下一代保护可持续的蓝海，将设计一种能够感知多种水声系统共存的认知水下声网络(CAUNet)。项目目标包括通过数据收集和分析调查声谱使用情况，设计声谱感知和频谱管理的算法、软件和硬件，并通过模拟、实验室和现场实验评估拟议工作的可行性和性能。该项目将通过提高UANs的效率，同时使其更加环保，从而为水下网络研究界做出重大贡献。该项目的研究活动还提供了一个丰富的环境和平台，可以促进对从高中到研究生的学生的教育和培训，并激励代表不足的群体的学生从事科学和工程研究。此外，该项目将推动和促进水下通信、网络、工程和海洋科学界内广泛的研究和外联活动，并促进在各种水生应用方面取得实际解决方案的进展。