Locating tiny sensors in time and space: a case study

Proceedings. IEEE International Conference on Computer Design: VLSI in Computers and Processors Pub Date : 1900-01-01 DOI:10.1109/ICCD.2002.1106773

Lewis Girod, Vladimir Bychkovskiy, J. Elson, D. Estrin

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引用次数: 287

Abstract

As the cost of embedded sensors and actuators drops, new applications will arise that exploit high density networks of small devices capable of a variety of sensing tasks. Although individual devices may have limited functionality, the true value of the system comes from the emergent behavior that arises when data from many places in the system is combined. This type of data fusion has a number of requirements, but two of the most important are: 1) synchronized time, precise enough to resolve movement in the sensed phenomenon (e.g., sound); and 2) known geographic locations, on a similar scale to the sensors' size and deployment density. However, the installation cost of a localization system with sufficient granularity is considerable, because of the large amount of effort required to deploy such a system and make all the measurements required to tune it. In this paper, we describe a system based on COTS components that incorporates our novel time synchronization and acoustic ranging techniques. The result is a low-cost, readily available platform for distributed, coherent signal processing.

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在时间和空间中定位微型传感器:一个案例研究

随着嵌入式传感器和执行器成本的下降，新的应用将出现，利用能够执行各种传感任务的小型设备的高密度网络。尽管单个设备可能具有有限的功能，但系统的真正价值来自于当系统中许多地方的数据组合在一起时产生的紧急行为。这种类型的数据融合有许多要求，但最重要的两个是:1)同步的时间，足够精确，以解决运动感测现象(例如，声音);2)已知的地理位置，与传感器的大小和部署密度相似。然而，具有足够粒度的定位系统的安装成本是相当可观的，因为部署这样的系统并进行调优所需的所有测量需要大量的工作。在本文中，我们描述了一个基于COTS组件的系统，该系统结合了我们新颖的时间同步和声测距技术。其结果是一个低成本、易于获得的分布式、相干信号处理平台。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Proceedings. IEEE International Conference on Computer Design: VLSI in Computers and Processors

CiteScore

2.30

自引率

0.00%

发文量