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NeTS-NR: Creating a Wirelss Sensor Net Architecture

NeTS-NR: Creating a Wirelss Sensor Net Architecture
NeTS-NR:创建无线传感器网络架构
批准号:
0435454
负责人:
David Culler
金额:
$0.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-09-15 至 2009-08-31

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中文摘要
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英文摘要
Abstract: Wireless Sensor Networks (WSNs) will benefit society by accelerating scientific research, increasing productivity, and enhancing security. Candidate solutions to particular scientific challenges, ranging from device design to distributed algorithms, exist with various assumed requirements, constraints, and relationships between the components. However, there is no consensus on an overall sensor network architecture. Deployments take a narrow vertical slice to achieve a operational network. The objective of this project is to formulate and evaluate a comprehensive WSN systems architecture, encompassing general design principles, broad functional decompositions, and detailed interfaces by which pieces fit together. The approach recognizes that the ``narrow waist" of this architecture -- playing the role of IP in the Internet architecture -- is a best-effort single-hop broadcast. The primary method for articulating the essential abstractions is iterative cycles of (candidate collection, design, integration, evaluation) with the outcome presented to the community for analysis to establish the right compromises between generality and performance. This process will articulate consistent programming interfaces that encompass collection, aggregation, dissemination, neighborhoods, data centric storage, and attribute-based routing over multiple link layers. The architecture will be tested on cross-cutting aspects of efficiency, coordination, power, management, and security. It should embrace heterogeneity and allow for application-specific optimization within a consistent framework. Creating a successful architecture for WSNs will reduce development effort, allow greater synergy and interoperability, enable more rapid innovation, and greatly broaden the sphere of applications from national security to scientific research and ecosystem management.
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Translational Data Science - Industry / Academic Confluence (TDS-IAC)
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