NeTS - NOSS:Semantic Internetworking of Sensor Systems for Efficient In-Network Information Processing
NeTS - NOSS:Semantic Internetworking of Sensor Systems for Efficient In-Network Information Processing
批准号:
0435353
负责人:
Thomas Little
金额:
$75.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-01-01 至 2007-12-31
中文摘要
题目:面向高效网内信息处理的传感器系统语义互联摘要:传感器和计算技术的进步为在环境和栖息地监测、电力系统和制造业等多种应用中部署无线传感器网络提供了动力。这些系统的成功实现取决于系统的方法来处理和解决瓶颈问题。传感器网络的运行和使用寿命基本上受到能源的限制,这在需要长期部署的环境应用中是一个特别值得关注的问题。该项目系统地结合了数据网络和分布式信息处理的新技术,以实现传感器网络运行的可扩展性和大规模能源效率。所采用的方法包括新的语义路由技术和网络内本地化分布式推理算法。一个具有挑战性的生态应用,这是环境监测中出现的挑战的代表,作为概念验证。成功完成的项目将导致(1)建立系统来监测和了解我们的环境,从而为评估与社会相关的广泛政策问题提供一个框架的技术;(2)新的技术和理论,以提高大规模传感器网络作为一个工程挑战的可行性;(3)通过跨学科的努力,在生物学、地理学和工程学领域建立起新的、意想不到的见解和技术;(4)为科学家、教育工作者、学生和可能应用项目成果的志同道合的个人提供科学工具。该项目的结果将通过学术场所、期刊、会议和在线出版物传播。
英文摘要
Proposal Number: 0435353PI: Thomas Little Institution: Boston University Title: Semantic Internetworking of Sensor Systems for Efficient In-Network Information ProcessingAbstract: Advances in sensor and computing technologies provide impetus for deploying wireless sensor networks in diverse applications ranging from environmental and habitat monitoring, power systems and manufacturing. Successful realization of such systems hinges on systematic methodologies to address and resolve bottleneck issues. Sensor network operation and lifetime is fundamentally limited by energy, a particular concern in environmental applications that necessitate long-term deployment. The project systematically interfaces new techniques for data networking and distributed information-processing to realize scalability and massive energy efficiencies in sensor network operation. The employed methods include novel semantic routing techniques and in-network localized distributed inferencing algorithms. A challenging ecological application, which is representative of the challenges arising in environmental monitoring, is addressed as proof-of-concept. Successfully completed project will lead to (1) an enabling technique for building systems to monitor and understand our environment and thus provide a framework for evaluating broad policy questions relevant to society; (2) new techniques and theories to advance the viability of large scale sensor networks as an engineering challenge; (3) novel, unanticipated insights and technologies in biology, geography, and engineering, which are bridged by the interdisciplinary effort; (4) scientific tools for scientists, educators, students, and like-minded individuals who might apply the results of the project. The results of the project will be disseminated through scholarly venues, journal, conference and online publications.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
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批准号:1617645
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项目类别:Standard Grant
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财政年份:2016
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依托单位:
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依托单位:
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批准号:9523958
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项目类别:Continuing grant
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资助金额:$29.55万
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依托单位:
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资助金额:$13.5万
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资助金额:$10.0万
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依托单位:
国内基金
海外基金
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批准号:--
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项目类别:--
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资助金额:63万元
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批准年份:2020
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依托单位:
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项目类别:面上项目
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资助金额:63.0万元
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批准年份:2020
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负责人:李亚
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依托单位:
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批准号:60776805
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依托单位: