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Deployment, distributed inferance, and modulation problems for energy efficient wireless sensor networks

Deployment, distributed inferance, and modulation problems for energy efficient wireless sensor networks
高能效无线传感器网络的部署、分布式推理和调制问题
批准号:
155483-2008
负责人:
Takahara, Glen
金额:
$1.49万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2010
资助国家:
加拿大
项目状态:
已结题
起止时间:
2010-01-01 至 2011-12-31

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中文摘要
翻译
无线传感器网络(WSNs)是激烈的研究活动的焦点,由于无数的潜在应用,例如,健康和环境监测,安全,智能农业,救灾和军事信息收集,预计将产生深远的经济和社会影响。智能应用程序的设计,利用这种网络的分布式计算的潜力,存在着许多机遇和挑战。这些挑战主要是由于无线传感器网络节点通常运行在不可再生的电池上,这使得能源效率至关重要。
英文摘要
Wireless Sensor Networks (WSNs) are the focus of intense research activity due to a myriad of potential applications in, for example, health and environmental monitoring, security, smart agriculture, disaster relief, and military information gathering, with economic and social impacts that are anticipated to be profound. Many opportunities and challenges exist for intelligent application designs which exploit the distributed computing potential of such networks. The challenges are mainly due to the fact that WSN nodes typically run on non-replenishable batteries, making energy efficiency of paramount importance.
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Some Problems in Spectral Methods and Discrete Probability
  • 批准号:
    RGPIN-2019-06751
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.31万
  • 财政年份:
    2022
  • 负责人:
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  • 依托单位:
Some Problems in Spectral Methods and Discrete Probability
  • 批准号:
    RGPIN-2019-06751
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 依托单位:
Some Problems in Spectral Methods and Discrete Probability
  • 批准号:
    RGPIN-2019-06751
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.31万
  • 财政年份:
    2020
  • 负责人:
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  • 依托单位:
Some Problems in Spectral Methods and Discrete Probability
  • 批准号:
    RGPIN-2019-06751
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.31万
  • 财政年份:
    2019
  • 负责人:
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国内基金
海外基金
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  • 批准号:
  • 项目类别:
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  • 资助金额:
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  • 批准年份:
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  • 项目类别:
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  • 批准年份:
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  • 负责人:
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