CAREER: Exploiting Sensing Diversity and Conquering Communication Reality to Meet User Requirements in Performance-Critical Wireless Sensor Networks

职业：利用传感多样性并征服通信现实，以满足性能关键的无线传感器网络中的用户需求

• 批准号: 1253506
• 负责人: Gang Zhou
• 金额: $ 45.92万
• 依托单位: College of William and Mary
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1253506&HistoricalAwards=false
• 关键词: CAREER; Exploiting; Sensing; Diversity; Conquering

Wireless Sensor Networks (WSNs) are an important new class of networked systems that integrate sensing, communication, and computation capabilities on a single, inexpensive platform. The significant scale and deep integration with their environments enable WSNs to monitor the physical world and human subjects with an unprecedented spatial and temporal granularity. WSNs designed for performance-critical applications must achieve user requirements on both sensing and communication performance, such as high detection probabilities, low false alarm rates, and bounded time delays and throughputs. Failure to meet these requirements often leads to undesirable or even catastrophic consequences. In a real deployment, both the sensing diversity, i.e., the sensing capability differences among individual sensors or sensor clusters in the deployment, and the lossy, irregular, and heterogeneous WSN communication reality must be addressed. In this project, three research thrusts with seven detailed research tasks are proposed to exploit sensing diversity and conquer communication reality so as to ensure user-requested sensing and communication performance in performance-critical WSNs. This research will enable meeting performance requirements in a number of critical application domains, including homeland security and surveillance, healthcare and assisted living, natural and physical hazard detection, etc., even when complexity and uncertainty exist in the deployed environment. It will enable psychologists to collect previously unattainable data for advancing their physiological and mental health research. It will also benefit community and health providers for their geriatric driving and aging projects. Benefits to senior residents and local retirement communities will be delivered through collaboration with the Center for Excellence in Aging and Geriatric Health. This project will also be integrated into three courses to expose undergraduate and graduate students to advanced sensor networking and system designs. It will bring students in psychology and students in computer science together to work on applying WSN technologies to physiological and mental health study of older adults. A series of planned week-long day camps and annual open houses will provide hands-on opportunities to a diverse group of minority students and high-schoolers. Distributing the research-based outcomes of this proposal through NCWIT will help increase the number of women in the field of computing.

无线传感器网络 (WSN) 是一种重要的新型网络系统，它将传感、通信和计算功能集成在一个廉价的平台上。其巨大的规模和与环境的深度集成使无线传感器网络能够以前所未有的空间和时间粒度监控物理世界和人类主体。专为性能关键型应用而设计的无线传感器网络必须满足用户对传感和通信性能的要求，例如高检测概率、低误报率以及有限的时间延迟和吞吐量。未能满足这些要求通常会导致不良甚至灾难性的后果。在实际部署中，必须解决感知多样性，即部署中各个传感器或传感器集群之间的感知能力差异，以及有损、不规则和异构的 WSN 通信现实。在该项目中，提出了三个研究重点和七个详细的研究任务，以利用感知多样性并克服通信现实，以确保性能关键型无线传感器网络中用户要求的感知和通信性能。这项研究将能够满足许多关键应用领域的性能要求，包括国土安全和监控、医疗保健和辅助生活、自然和物理危险检测等，即使部署的环境存在复杂性和不确定性。它将使心理学家能够收集以前无法获得的数据，以推进他们的生理和心理健康研究。它还将使社区和医疗服务提供者的老年驾驶和老龄化项目受益。将通过与老龄化和老年健康卓越中心的合作为老年居民和当地退休社区提供福利。该项目还将整合到三门课程中，让本科生和研究生接触先进的传感器网络和系统设计。它将把心理学专业的学生和计算机科学专业的学生聚集在一起，致力于将无线传感器网络技术应用于老年人的生理和心理健康研究。一系列计划为期一周的日营和年度开放日将为不同群体的少数族裔学生和高中生提供实践机会。通过 NCWIT 分发该提案的研究成果将有助于增加计算机领域的女性人数。