Monitoring Dynamic Spatial Fields Using Responsive Geosensor Networks

使用响应式地理传感器网络监测动态空间场

基本信息

  • 批准号:
    0534429
  • 负责人:
  • 金额:
    $ 30.88万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2006
  • 资助国家:
    美国
  • 起止时间:
    2006-08-01 至 2010-07-31
  • 项目状态:
    已结题

项目摘要

Many environmental phenomena (e.g., changes in global levels of atmospheric carbon dioxide) can be modeled as variations of attributes over regions of space and time, called dynamic spatial fields. The goal of this project is to provide efficient ways for sensor networks to monitor such fields, and to report significant changes in them. The focus is on "qualitative" changes, such as splitting of areas or emergence of holes in a region of study. The approach is to develop qualitative and topological methods to deal with changes. Qualitative properties form a small, discrete space, whereas quantitative values form a large, continuous space, and this enables efficiencies to be gained over traditional quantitative methods. The combinatorial map model of the spatial embedding of the sensor network is rich enough so that for each sensor, its position, and the distances and bearings of neighboring sensors, are easily computed. The sensors are "responsive" to changes to the spatial field, so that sensors are activated in the vicinity of "interesting" developments in the field, while sensors are deactivated in quiescent locations. All computation and message passing is "local", with no centralized control. Optimization is addressed through use of techniques in qualitative representation and reasoning, and efficient update through a dynamic and responsive underlying spatial framework. Effective deployment of very large arrays of sensors for environmental monitoring has important scientific and societal benefits. The project is integrated with the NSF IGERT program on Sensor Science, Engineering, and Informatics at the University of Maine, which will enhance educational and outreach opportunities. The project Web site (http://www.spatial.maine.edu/~worboys/sensors.html) will be used for broad results dissemination.
许多环境现象(例如,全球大气二氧化碳水平的变化)可以被建模为在空间和时间区域上的属性的变化,称为动态空间场。该项目的目标是为传感器网络提供有效的方法来监测这些领域,并报告其中的重大变化。重点是"质"的变化,如分裂的地区或出现的洞在一个地区的研究。方法是发展定性和拓扑方法来处理变化。定性属性形成一个小的离散空间,而定量值形成一个大的连续空间,这使得效率高于传统的定量方法。传感器网络的空间嵌入的组合地图模型足够丰富,使得对于每个传感器,其位置以及相邻传感器的距离和方位都很容易计算。 传感器对空间场的变化作出"响应",使得传感器在场中"感兴趣的"发展附近被激活,而传感器在静止位置被停用。所有的计算和消息传递都是“本地的”,没有集中控制。通过使用定性表示和推理的技术来解决优化问题,并通过动态和响应的基础空间框架进行有效更新。有效部署用于环境监测的大型传感器阵列具有重要的科学和社会效益。该项目与缅因州大学的NSF IGERT传感器科学、工程和信息学项目相结合,这将增加教育和推广机会。将利用项目网址(http://www.spatial.maine.edu/spaceworboys/sensors.html)广泛传播成果。

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Michael Worboys其他文献

Germs, malaria and the invention of Mansonian tropical medicine: from 'diseases in the tropics' to 'tropical diseases'.
细菌、疟疾和曼森热带医学的发明:从“热带疾病”到“热带疾病”。
  • DOI:
    10.1163/9789004418448_013
  • 发表时间:
    1996
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Michael Worboys
  • 通讯作者:
    Michael Worboys
Science and Imperialism
科学与帝国主义
  • DOI:
    10.1086/356375
  • 发表时间:
    1993
  • 期刊:
  • 影响因子:
    0.6
  • 作者:
    P. Palladino;Michael Worboys
  • 通讯作者:
    Michael Worboys

Michael Worboys的其他文献

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{{ truncateString('Michael Worboys', 18)}}的其他基金

The 'Dog Fancy' and Fancy Dogs: Pedigree, Breeding and Britishness, 1859-1914.
“花式狗”和花式狗:血统、繁殖和英国性,1859-1914 年。
  • 批准号:
    AH/H030808/1
  • 财政年份:
    2010
  • 资助金额:
    $ 30.88万
  • 项目类别:
    Research Grant
III:Small: Information Integration and Human Interaction for Indoor and Outdoor Spaces
三:小:室内外空间的信息整合与人机交互
  • 批准号:
    0916219
  • 财政年份:
    2009
  • 资助金额:
    $ 30.88万
  • 项目类别:
    Continuing Grant
Collaborative Research: Matching Levels of Detail in Descriptions and Depictions of Geographic Space
协作研究:匹配地理空间描述和描绘的细节水平
  • 批准号:
    0327615
  • 财政年份:
    2003
  • 资助金额:
    $ 30.88万
  • 项目类别:
    Continuing Grant

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