CAREER: Embedded DSP with Underwater Renewable Energy: Towards Sustainability for Cyber-Aquatic Systems

职业：具有水下可再生能源的嵌入式 DSP：实现网络水生系统的可持续性

• 批准号: 0954037
• 负责人: Lei Wang
• 金额: $ 48.69万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-03-01 至 2016-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0954037&HistoricalAwards=false
• 关键词: CAREER; Embedded; DSP; Underwater; Renewable

Dedicated digital signal processing (DSP) is a key technology for a diversity of embedded applications. Recently, underwater autonomous distributed systems have received growing interest in aquatic observation and exploration. These systems pose significant challenges for sustainable signal processing due to the high communication cost and new constraints on energy supply in the harsh underwater environment. The relatively mature and predictable energy harvesting techniques are either not applicable in the underwater environment or do not offer sufficient capabilities. This raises dual challenges to the design of dedicated DSP for cyber-aquatic systems with respect to what alternative energy sources are available and how to effectively and reliably utilize renewable energy.This CAREER project seeks to overcome these challenges arising at the cyber-aquatic interface. The goal is to develop a new DSP design framework that allows dynamic tuning of system complexity/performance and energy-efficiency levels in adaptation with renewable underwater energy sources. The results from this research will enable sustainable cyber-aquatic systems that have great potential for innovations but have remained largely unexplored so far. Design tools and optimization methods developed from this project can be applied to a wide range of embedded applications powered by various energy sources.The education component of this project seeks to strengthen interdisciplinary education through a dynamic curriculum that builds on this research project. Through industry collaboration and outreach programs at UConn, this project will offer research opportunities to students especially women and underrepresented minority students, and enhance engineering awareness and interests among high-school students.

专用数字信号处理(DSP)是各种嵌入式应用的关键技术。近年来，水下自主分布式系统在水上观测和探测方面受到了越来越多的关注。这些系统对可持续的信号处理构成了巨大的挑战，因为在恶劣的水下环境中，高昂的通信成本和对能源供应的新限制。相对成熟和可预测的能源收集技术要么不适用于水下环境，要么没有提供足够的能力。这对网络-水上系统专用数字信号处理器的设计提出了双重挑战，即有什么替代能源可用，以及如何有效和可靠地利用可再生能源。这个职业项目旨在克服这些在网络-水上接口产生的挑战。目标是开发一种新的数字信号处理器设计框架，允许动态调整系统复杂性/性能和能效水平，以适应可再生的水下能源。这项研究的结果将使具有巨大创新潜力但迄今在很大程度上仍未开发的可持续网络水上系统成为可能。该项目开发的设计工具和优化方法可应用于各种能源驱动的嵌入式应用。该项目的教育部分旨在通过以该研究项目为基础的动态课程来加强跨学科教育。通过康涅狄格州大学的行业合作和推广计划，该项目将为学生，特别是女性和代表不足的少数族裔学生提供研究机会，并提高高中生的工程意识和兴趣。