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.

在美国，不同的气体污染物每年造成约41，200人死亡，因此空气质量监测对人口的健康和福祉至关重要。天才项目（for绿色传感器网络用于空气质量支持）旨在通过提出传感器硬件、通信协议、分析模型的改进来建立一个连续运行的污染监测网络，目标是实现自我维持的传感器节点。结合按需唤醒无线电和能量收集技术的集成传感器的设计是本研究的关键贡献，使得能够部署能量中性传感器网络以用于几乎常年的污染监测。GENIUS根据这种新的节点架构重新访问网络协议栈。在这项工作中，正在探索基于能量预测、能量存储组件的选择以及寻找确保给定能量可用性的最高吞吐量的路线的技术。此外，使用新的时空数据建模工具的污染地图与协议设计集成，以提高操作性能。能量中性传感器网络将影响许多不同的应用，如环境，结构和病人健康监测，部署的传感器不容易访问。该项目还涉及与印度的国际合作，使美国学生和研究人员有机会与印度同行互动，进行联合实验，并制定互利的研究战略，以应对空气污染带来的全球挑战。