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.

由于不同的气态污染物，估计在美国的空气质量监测中估计有41,200例年死亡成为人口健康和福祉的重要性。项目天才（用于空气质量支持的绿色传感器网络）旨在通过提议在传感器硬件，沟通协议，分析模型中的进步来构建连续的操作污染监视网络，以实现自我维持的传感器节点的设计，该综合传感器的设计结合了一项逐步唤醒和能量的无线电网络，以实现该技术的贡献，从而促进了该信息的贡献，从而促进了这些贡献的贡献，从而促进了这些贡献的贡献。实际上是多年生的监视。天才根据这种新的节点体系结构重新审视网络协议堆栈。基于能量预测，储能组件的选择以及找到确保在这项工作中探索给定能量可用性最高吞吐量的途径的技术，以及找到确保最高吞吐量的途径。此外，使用新颖的时空数据建模工具与协议设计集成以提高操作性性能。eenergy中性传感器网络将影响许多不同的应用程序，例如环境，结构和患者健康监控，在该方案中，部署的传感器无法轻易访问。该项目还涉及与印度的国际合作，为美国学生和研究人员提供了与印度同行互动，进行联合实验的机会，并制定互惠互利的研究策略，以应对空气污染带来的全球挑战。