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: 0901686
• 负责人: John Lach
• 金额: $ 35万
• 依托单位: University of Virginia Main Campus
• 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=0901686&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.

该合作研究项目的目标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，使其实用且有效，可在各种医疗保健应用中对个人进行连续、非侵入性监控。 该方法旨在开发新的系统建模和分析技术，用于应用程序保真度、网络延迟和吞吐量以及能源的设计时优化和运行时管理。 该项目的主要特点是多尺度的 QoS 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。 这项工作将基于在实际 BSN 应用中部署的物理 BSN 系统的实验进行验证和改进。就智力价值而言，本研究解决了在严格的资源限制、复杂环境和变化的情况下实现高水平 QoS 的问题。应用程序语义和上下文。 虽然分层的 QoS 管理方法适合资源密集型系统，但 BSN 需要一种集成的、多尺度的方法，能够跨系统级别查找操作点，以根据应用程序特定的要求和动态操作条件最大化 QoS 指标。尽管影响更广泛，但本研究中解决的 QoS 问题对于 BSN 在医疗保健应用中的最终接受至关重要，因为它们有这样的前景。 该项目包括与医生和护士的互动，以确保 BSN 满足实际应用的要求，包括在家庭医疗保健和辅助生活环境中的部署。 该项目还旨在通过动手演示和与引人注目的应用程序的清晰链接，让年轻学生对工程感到兴奋。