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

环境意识是可持续海洋监测和勘探的关键。为了满足海洋监测和勘探应用日益增长的需求，并为下一代保护一个可持续的蓝色海洋，将设计一个认知声学水下网络（CAUNet），它知道多个水声系统的共存。该项目的目标包括通过数据收集和分析调查声学频谱使用情况，设计用于声学频谱感测和频谱管理的算法，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UAN的效率，同时使其更加环保，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，可以促进教育和培训从高中到研究生的学生，并激励代表性不足的群体的学生从事科学和工程研究。此外，该项目还将推动和促成水下通信、网络、工程和海洋科学界开展广泛的研究和外联活动，并推动在各种水生应用的实际解决方案方面取得进展。

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.