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CAREER: Adaptive Power Management for Supercapacitor-Operated Sustainable Wireless Sensor Networks

CAREER: Adaptive Power Management for Supercapacitor-Operated Sustainable Wireless Sensor Networks
职业:超级电容器供电的可持续无线传感器网络的自适应电源管理
批准号:
1253390
负责人:
Ying Zhang
金额:
$44.47万
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
项目状态:
已结题
起止时间:
2013-05-01 至 2019-09-30

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中文摘要
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英文摘要
Long-life, maintenance-free, self-powered wireless sensor networks (WSNs) could potentially benefit many applications using WSNs with nodes that do not have access to continuous, conditioned power. However, the lifetime of self-powered WSNs has been severely limited by the cycle life and a short life span of rechargeable batteries (RBs), the current popular storage device for energy harvesting wireless sensors. Alternatively, supercapacitors (SCs) have cycle lives on the order of millions and a life span of 20 years or more. Recent advances in SC technology may lead to a paradigm shift from a battery-based to a SC-based design if the adaptive power management can be established to maintain the sustainability of the WSNs, which will generate great interest from many long-life applications.This research project aims to establish the theoretical foundation and applied framework of adaptive power management for supercapacitor-powered wireless sensors, which enables the next generation of perpetual, sustainable operation of environmentally-powered WSNs. This project consists of three main research components: (1) investigate how supercapacitor device characteristics affect power management policies and provide guidelines for SC-powered embedded systems; (2) create practical and accurate SC models for supporting power management research in energy harvesting WSNs; (3) design the SC-aware power management framework that enables sustainable operation of WSNs and evaluate it in laboratory testing and practical SC-based energy harvesting WSNs. This project will significantly advance the understanding of the next-generation SC-based energy harvesting WSNs, and lead to WSNs that can exist for decades on weak ambient energy and provide services required by important applications. In addition, the SC model and power management framework can also have impact on other portable embedded electronics. The educational components of this project include (1) providing research opportunities for graduate and undergraduate students, especially women and members of underrepresented groups; (2) integrating knowledge of state-of-the-art research and recent technological advances into the developed new curricula to provide multidisciplinary training, and inspire interdisciplinary research ideas; (3) developing educational activities in helping K-12 students from underrepresented groups and K-12 teachers from schools with high minority student population and low socioeconomic status.
期刊论文(1)
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DOI: 10.1109/allerton.2019.8919656
发表时间: 2019
期刊: and Computing (Allerton
影响因子: --
作者: [Ermis, Ayca, Lai, Yen-Pang, Pan, Xinhai, Chai, Ruizhi, Zhang, Ying]
通讯作者: Zhang, Ying
RII Track-4: Visualization of Host-Microbe Interactions using CLASI-FISH
  • 批准号:
    1929078
  • 项目类别:
    Standard Grant
  • 资助金额:
    $26.1万
  • 财政年份:
    2020
  • 负责人:
    Ying Zhang
  • 依托单位:
Collaborative Research: MEMONET: Understanding memory in neuronal networks through a brain-inspired spin-based artificial intelligence
  • 批准号:
    1939992
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $39.96万
  • 财政年份:
    2019
  • 负责人:
    Ying Zhang
  • 依托单位:
Adaptive Thermal Management for Next-Generation Implantable Devices
  • 批准号:
    1711447
  • 项目类别:
    Standard Grant
  • 资助金额:
    $33.0万
  • 财政年份:
    2017
  • 负责人:
    Ying Zhang
  • 依托单位:
Collaborative Research: Physiological Plasticity and Response of Benthic Foraminifera to Oceanic Deoxygenation
  • 批准号:
    1557566
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.39万
  • 财政年份:
    2016
  • 负责人:
    Ying Zhang
  • 依托单位:
海外基金