PC3: Collaborative Research: GENIUS: Green Sensor Networks for Air Quality Support

PC3：合作研究：GENIUS：用于空气质量支持的绿色传感器网络

• 批准号: 1143662
• 负责人: Wendi Heinzelman
• 金额: $ 12.88万
• 依托单位: University of Rochester
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-01-01 至 2015-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1143662&HistoricalAwards=false
• 关键词: PC3; Collaborative; Research; GENIUS; Green

With different gaseous pollutants collectively responsible for an estimated 41,200 annual deaths in the U.S. air quality monitoring becomes an imperative for the health and well-being of the population. The project GENIUS (for Green sEnsor Networks for aIr qUality Support) aims at building a continuously operational pollution monitoring network through proposing advancements in sensor hardware, communication protocols, analytical models with the goal of realizing self-sustaining sensor nodes.The design of an integrated sensor combining an on-demand wake-up radio and energy harvesting technologies is a key contribution of this research, enabling the deployment of energy neutral sensor networks for pollution monitoring that are virtually perennial. GENIUS revisits the network protocol stack in light of this new node architecture. Techniques for jointly optimizing duty cycles based on energy prediction, the choice of energy storage components, as well as finding routes that ensure the highest throughput for a given energy availability are being explored in this work. Moreover, Òpollution mapsÓ using novel spatio-temporal data modeling tools are integrated with the protocol design to improve the operational performance.ÊEnergy neutral sensor networks will impact many different applications, such as environmental, structural, and patient health monitoring, where deployed sensors are not easily accessible. The project also involves international collaboration with India, giving an opportunity for U.S. students and researchers to interact with their Indian counterparts, conduct joint experiments, and develop mutually beneficial research strategies to combat the global challenges posed by air pollution.

据估计，美国每年有 41,200 人因不同的气态污染物而死亡，因此空气质量监测对于人们的健康和福祉至关重要。GENIUS 项目（用于空气质量支持的绿色传感器网络）旨在建立一个持续的环境。通过提出传感器硬件、通信协议、分析模型的进步，以实现自我维持的传感器节点为目标，构建运行污染监测网络。集成传感器的设计结合了按需唤醒无线电和能量收集技术是这项研究的一个关键贡献，使得能源中性传感器网络的部署能够用于污染监测，而 GENIUS 根据这种新的节点架构重新审视了网络协议栈。这项工作正在探索基于能源预测的占空比、能源存储组件的选择以及寻找确保给定能源可用性的最高吞吐量的路线。此外，使用新颖的时空数据的“污染地图”。建模工具与协议设计相集成，以提高运行性能。能源中性传感器网络将影响许多不同的应用，例如环境、结构和患者健康监测，这些应用中部署的传感器不易访问。印度为美国学生和研究人员提供了与他们在印度的学分进行互动、进行联合实验并制定互利研究策略的机会，以应对空气污染带来的全球挑战。