Collaborative Research: Multi-Scale QoS for Body Sensor Networks

协作研究：身体传感器网络的多尺度 QoS

• 批准号: 0901437
• 负责人: Gang Zhou
• 金额: $ 17.5万
• 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: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0901437&HistoricalAwards=false
• 关键词: Collaborative; Research; Multi; Scale; QoS

The objective of this collaborative research project is to address the key quality of service (QoS) issues related to wireless body sensor networks (BSNs) to make them practical and efficacious for continuous, non-invasive monitoring of individuals in a variety of healthcare applications. The approach is to develop new system modeling and analysis techniques for design-time optimization and run-time management of application fidelity, network latency and throughput, and energy. The key feature of this project is the multi-scale approach to QoS, enabling designers to explore how techniques at each system level impact the other levels. This work will be validated and improved upon based on experimentation with physical BSN systems deployed in real BSN applications.With respect to intellectual merit, this research address the problem of achieving high levels of QoS under severe resource constraints, in complex environments, and with varying application semantics and contexts. While a layered approach to QoS management is appropriate for resource-heavy systems, BSNs require an integrated, multi-scale approach capable of finding operating points across system levels to maximize QoS metrics based on application-specific requirements and dynamic operating conditions.With respect to broader impact, the QoS issues addressed in this research are central to the ultimate acceptance of BSNs in the healthcare applications for which they have such promise. This project includes interactions with doctors and nurses to ensure that BSNs are addressing the requirements of real applications, including deployment in home healthcare and assisted living settings. The project also seeks to get young students excited about engineering through hands-on demonstrations and clear links to compelling applications.

该协作研究项目的目的是解决与无线身体传感器网络（BSN）相关的关键服务质量（QOS）问题，以使它们实用，有效地，以对各种医疗保健应用中的个人进行持续无创的监测。 该方法是开发新的系统建模和分析技术，用于设计时间优化和运行时管理应用程序保真度，网络潜伏期和吞吐量以及能量。 该项目的关键特征是QoS的多尺度方法，使设计人员能够探索每个系统级别的技术如何影响其他级别。 基于对实际BSN应用程序中部署的物理BSN系统的实验，将对这项工作进行验证和改进。对于智力优点，本研究解决了在严重的资源限制，在复杂的环境中以及不同应用程序语义和环境中实现高水平QoS的问题。 虽然一种分层的QoS管理方法适用于资源繁重的系统，但BSN需要一种集成的，多尺度的方法，能够在系统级别上查找操作点，以最大程度地基于QOS指标，基于应用程序特定的要求和动态操作条件。在这项研究中，QoS问题涉及BSN的最终问题，对BSN的最终受到了应有的影响，他们对医疗服务的最终受到了应有的关注。 该项目包括与医生和护士的互动，以确保BSN解决实际应用的要求，包括在家庭医疗保健和辅助生活环境中部署。 该项目还旨在通过动手演示和与引人入胜的应用程序的明确联系使年轻学生对工程学感到兴奋。