Modeling acoustic localization accuracy for scalable energy consumption in wireless sensor swarms

Joyraj Chakraborty, Geoffrey Ottoy, Jean-Pierre Goemaere, L. D. Strycker
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引用次数: 4

Abstract

Sensor swarms can be a cost-effectieve and more privacy-friendly alternative for location based service systems in building automation and health-care. To increase the battery lifetime of such swarm networks, the energy consumption should be scaled to the required localization accuracy. In this paper we described the first steps in developing an energy model that couples localization accuracy to energy-related sensor parameters such as sample frequency and ADC resolution. The goal is to use the model for the localization of undetermined environmental sounds, by means of wireless acoustic sensors. We show that for TDOA-based localization, the signal sample rate can be under the Nyquist frequency, provided that enough frequency components remain present in the undersampled signal. The resulting localization error is comparable with that of similar localization systems.
基于可扩展能量消耗的无线传感器群声学定位精度建模
对于建筑自动化和医疗保健中的基于位置的服务系统,传感器群可以是一种具有成本效益和更隐私友好的替代方案。为了增加这种群网络的电池寿命,能量消耗应该按比例缩放到所需的定位精度。在本文中,我们描述了开发能量模型的第一步,该模型将定位精度与能量相关的传感器参数(如采样频率和ADC分辨率)耦合在一起。目标是通过无线声学传感器,使用该模型对未确定的环境声音进行定位。我们表明,对于基于tdoa的定位,只要欠采样信号中仍然存在足够的频率成分,信号采样率可以低于奈奎斯特频率。所得到的定位误差与同类定位系统相当。
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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