CPS: Breakthrough: Energy and Delay: Network Optimization in Cyber Physical Human Sensing Systems

CPS:突破:能量和延迟:网络物理人体传感系统中的网络优化

基本信息

  • 批准号:
    1446901
  • 负责人:
  • 金额:
    $ 49.93万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-01-01 至 2019-12-31
  • 项目状态:
    已结题

项目摘要

Wireless body area sensing networks (WBANs) have the potential to revolutionize health care in the near term and enhance other application domains including sports, entertainment, military and emergency situations. These WBANs represent a novel cyber-physical system that unites engineering systems, the natural world and human individuals. The coupling of bio-sensors with a wireless infrastructure enables the real-time monitoring of an individual's health, environment and related behaviors continuously, as well as the provision of real-time feedback with nimble, adaptive, and personalized interventions. Recent technological advances in low power integrated circuits, signal processing and wireless communications have enabled the design of tiny, low cost, lightweight, intelligent medical devices, sensors and networking platforms that have the potential to make the concept of truly pervasive wireless sensor networks a reality. To develop the WBANs of the future, this breakthrough research will pursue the interfaces of sensing, communication and control.This project aims to investigate energy and delay sensitive sensing, communication, decision-making and control for health monitoring application of wireless body area networks. In these systems, sensors with varying accuracy observe heterogeneous source signals that must be processed and communicated and used for inference and decision-making purposes. All of these operations must be carried out in the presence of constraints on power and energy resources at the sensors, limited communication and computational abilities and with low end-to-end delay between the sensing of information to its eventual utilization. In this project, a global (end-to end) perspective is adopted that optimizes network operation to improve the information quality and enhance the lifetime of the network, focusing in particular on optimal use of sensor resources such as energy, new sensing and communication paradigms that balance information quality and energy expenditure, and real-time encoding and decoding methods that provide strict delay guarantees on information delivery. The proposed work will contribute to several research areas including optimal resource allocation at sensors, adaptive sensing methods, real-time encoding and decoding and event-based communication. The educational impact of the proposed research will come through the training of new information technology professionals and scientists with expertise in cross-disciplinary research, development of new courses based on the proposed research activity and continued efforts to include women and under-represented minorities in the research program.
无线身体区域传感网络(wban)有可能在短期内彻底改变医疗保健,并增强其他应用领域,包括体育、娱乐、军事和紧急情况。这些wban代表了一种新的网络物理系统,它将工程系统、自然世界和人类个体结合在一起。生物传感器与无线基础设施的耦合可以持续实时监测个人的健康、环境和相关行为,并通过灵活、自适应和个性化的干预措施提供实时反馈。最近在低功耗集成电路、信号处理和无线通信方面的技术进步,使设计微小、低成本、轻量化、智能的医疗设备、传感器和网络平台成为可能,使真正普及的无线传感器网络的概念成为现实。为了发展未来的wban,这项突破性的研究将追求传感、通信和控制的接口。本课题旨在研究无线体域网络的能量与时延敏感传感、通信、决策与控制在健康监测中的应用。在这些系统中,具有不同精度的传感器观察到必须处理和通信的异构源信号,并用于推理和决策目的。所有这些操作都必须在传感器的功率和能源有限、通信和计算能力有限以及从感知信息到最终利用之间的端到端延迟较低的情况下进行。本项目采用全局(端到端)视角,优化网络运行,提高信息质量,增强网络寿命,重点关注能源等传感器资源的优化利用,平衡信息质量和能源消耗的新型传感和通信范式,以及为信息传递提供严格延迟保证的实时编码和解码方法。所提出的工作将有助于几个研究领域,包括传感器的最佳资源分配,自适应传感方法,实时编码和解码以及基于事件的通信。拟议研究的教育影响将通过培训具有跨学科研究专长的新信息技术专业人员和科学家、根据拟议的研究活动开发新课程以及继续努力将妇女和代表性不足的少数民族纳入研究方案来实现。

项目成果

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Urbashi Mitra其他文献

Exploiting the large dimensions of space-time systems
利用时空系统的大维度
On Blind Timing Acquisition and Channel Estimation for Wideband Multiuser DS-CDMA Systems
Support recovery from noisy random measurements via weighted ?1 minimization
通过加权 1 最小化支持从噪声随机测量中恢复

Urbashi Mitra的其他文献

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{{ truncateString('Urbashi Mitra', 18)}}的其他基金

Travel: NSF Student Travel Grant for the 2024 IEEE International Symposium on Information Theory (ISIT 2024)
旅行:2024 年 IEEE 国际信息论研讨会 (ISIT 2024) 的 NSF 学生旅行补助金
  • 批准号:
    2406983
  • 财政年份:
    2024
  • 资助金额:
    $ 49.93万
  • 项目类别:
    Standard Grant
CIF: Small: Learning, Optimization & Analysis for Biologically Inspired Community Networks
CIF:小型:学习、优化
  • 批准号:
    2311653
  • 财政年份:
    2023
  • 资助金额:
    $ 49.93万
  • 项目类别:
    Standard Grant
Collaborative Research: PIPP Workshop: Pandemic Readiness for Emerging Pathogens(PREP) to be Held February 15-19, 2021.
合作研究:PIPP 研讨会:新兴病原体大流行准备 (PREP) 将于 2021 年 2 月 15 日至 19 日举行。
  • 批准号:
    2113909
  • 财政年份:
    2021
  • 资助金额:
    $ 49.93万
  • 项目类别:
    Standard Grant
CIF: Small: Statistical Learning Methods for Communications, Sensing and Control in Actuated Wireless Networks
CIF:小型:驱动无线网络中通信、传感和控制的统计学习方法
  • 批准号:
    2008927
  • 财政年份:
    2020
  • 资助金额:
    $ 49.93万
  • 项目类别:
    Standard Grant
CIF: Small: Modeling and Analysis of Microbial Signaling
CIF:小型:微生物信号传导的建模和分析
  • 批准号:
    1817200
  • 财政年份:
    2018
  • 资助金额:
    $ 49.93万
  • 项目类别:
    Standard Grant
CIF: Small: Understanding Microbial Signaling Through a Communication Theoretic Lens
CIF:小:通过通信理论镜头了解微生物信号传导
  • 批准号:
    1718560
  • 财政年份:
    2017
  • 资助金额:
    $ 49.93万
  • 项目类别:
    Standard Grant
NeTS: Medium: A Sparse Decomposition Framework for Complex System Design and Analysis
NeTS:Medium:复杂系统设计和分析的稀疏分解框架
  • 批准号:
    1410009
  • 财政年份:
    2014
  • 资助金额:
    $ 49.93万
  • 项目类别:
    Continuing Grant
NeTS: Large: Collaborative Research: Exploration and Exploitation in Actuated Communication Networks
NeTS:大型:协作研究:驱动通信网络中的探索和利用
  • 批准号:
    1213128
  • 财政年份:
    2012
  • 资助金额:
    $ 49.93万
  • 项目类别:
    Standard Grant
CIF: Small: Multiscale Methods for Mobile Underwater Networks
CIF:小型:移动水下网络的多尺度方法
  • 批准号:
    1117896
  • 财政年份:
    2011
  • 资助金额:
    $ 49.93万
  • 项目类别:
    Standard Grant
Collaborative NETS-NECO: Wireless Underwater Multi-tiered Acoustic Networks (WUMAN)
协作 NETS-NECO:无线水下多层声学网络 (WUMAN)
  • 批准号:
    0832186
  • 财政年份:
    2008
  • 资助金额:
    $ 49.93万
  • 项目类别:
    Standard Grant

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