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NeTS-NOSS: Adaptivity in Sensor Networks for Optimized Distributed Sensing and Signal Processing

NeTS-NOSS: Adaptivity in Sensor Networks for Optimized Distributed Sensing and Signal Processing
NeTS-NOSS:传感器网络的自适应性,用于优化分布式传感和信号处理
批准号:
0520280
负责人:
Richard Baraniuk
金额:
$0.0万
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:
2005-08-01 至 2011-01-31

项目摘要

项目成果

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中文摘要
翻译
该项目旨在开发一种自适应传感器网络体系结构,以实现对各种物理现象的高效、大规模、长期、低成本、按需高保真的监测。核心主题是,传感器数据的分布式信号处理和数据同化以及网络管理和监测应在传感器网络内进行,以减少能源消耗和全球通信需求,从而显著延长传感器的寿命,并大大提高对感兴趣的物理现象的跟踪保真度。我们的目标是为这种类型的网络内处理和传感器网络开发一种灵活的自我监控架构,利用自适应能力显著提高网络的效率、健壮性和有用性。考虑了两种自适应:(1)数据自适应,其中网络拓扑适合于使通信与自然数据流保持一致;以及(2)资源自适应,其中网络拓扑基于计算、电池或带宽资源而适应。预期的成果包括开发自适应通信协议和路由拓扑,开发用于传感器通信性能监测和推理的网络管理工具,以及用于监测传感器分布的网络管理工具,以及在莱斯大学校园的传感器节点小规模试验台上试验部署自适应传感器网络体系结构。将通过在项目网页上张贴的技术报告、在专业会议上提交的论文以及期刊出版物来传播成果。
英文摘要
This project aims to develop an adaptive sensor network architecture that enables the efficient, large-scale, long-term, low-cost, on-demand monitoring of a variety of physical phenomena with high fidelity. The core theme is that distributed signal processing and data assimilation of sensor data, as well as network management and monitoring, should be performed inside the sensor network in order to reduce energy consumption and global communication needs, leading to dramatically increased sensor lifetimes and much higher fidelity in the tracking of the physical phenomena of interest. The goal is to develop a flexible, self-monitoring architecture for this type of in-network processing and sensor networking that exploits adaptivity to significantly improve the network's efficiency, robustness, and usefulness. Two kinds of adaptivity are considered: (1) data adaptivity, where the network topology is adapted to align communications with the natural data flows; and (2) resource adaptivity, where the network topology is adapted based on computational, battery, or bandwidth resources. The expected results include the development of adaptive communication protocols and routing topology, the development of network management tools for sensor communication performance monitoring and inference, and for sensor distribution monitoring, as well as the experimental deployment of the adaptive sensor network architecture in a small-scale testbed of sensor nodes on the Rice University campus. Results will be disseminated through technical reports posted on the project web page, through papers presented at professional meetings, as well as through journal publications.
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