Collaborative Research: Multi-Scale QoS for Body Sensor Networks
Collaborative Research: Multi-Scale QoS for Body Sensor Networks
批准号:
0901686
负责人:
John Lach
金额:
$35.0万
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
项目状态:
已结题
起止时间:
2009-08-01 至 2013-07-31
中文摘要
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,使其在各种医疗保健应用中对个人进行连续,非侵入式监控。 该方法是开发新的系统建模和分析技术,用于设计时优化和运行时管理应用保真度,网络延迟和吞吐量,以及能源。 该项目的主要特点是多尺度的方法来QoS,使设计人员能够探索如何在每个系统级别的技术影响其他级别。 这项工作将被验证和改进的基础上部署在真实的BSN application.With方面的智力价值的物理BSN系统的实验,本研究解决的问题,实现高水平的QoS严重的资源约束下,在复杂的环境中,并与不同的应用程序的语义和上下文。 虽然QoS管理的分层方法适用于资源密集型系统,但BSN需要一种集成的多尺度方法,该方法能够跨系统级别找到操作点,以基于特定于应用的要求和动态操作条件来最大化QoS度量。在这项研究中解决的QoS问题是BSN在医疗保健应用中最终被接受的关键,因为它们具有这样的前景。 该项目包括与医生和护士的互动,以确保BSN满足真实的应用程序的要求,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明确链接,让年轻学生对工程感到兴奋。
英文摘要
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.
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2018 Connections in Smart Health Workshop
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批准号:1841671
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项目类别:Standard Grant
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依托单位:
Enhancing AFO Efficacy through Continuous, Non-Invasive Gait Assessment
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批准号:1034071
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项目类别:Standard Grant
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资助金额:$30.0万
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财政年份:2010
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负责人:John Lach
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批准号:0855197
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项目类别:Standard Grant
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资助金额:$10.0万
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财政年份:2009
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负责人:John Lach
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依托单位:
Collaborative Research: Continuous, Non-Invasive Gait Analysis and Fall-Risk Assessment
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批准号:0756645
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项目类别:Standard Grant
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资助金额:$22.5万
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负责人:John Lach
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依托单位:
Collaborative Research: CT-T: Manufacturing Variability-based Hardware Protection Techniques
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批准号:0716443
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项目类别:Standard Grant
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资助金额:$5.0万
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依托单位:
SEI: Hierarchical Dependency Graphs for Col-Space Design with Application to Leukocyte Detection and Tracking
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资助金额:$0.0万
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负责人:John Lach
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依托单位:
EHS: Highly Flexible Multi-Mode Embedded Systems
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批准号:0410526
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项目类别:Continuing Grant
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资助金额:$30.0万
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财政年份:2004
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负责人:John Lach
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依托单位:
Small-Scale Dynamic Reconfigurability for Large-Scale Benefits
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批准号:0105626
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项目类别:Continuing Grant
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资助金额:$41.98万
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财政年份:2001
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负责人:John Lach
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依托单位:
国内基金
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