【6h】

Energy-Based Sound Source Localization with Low Power Consumption in Wireless Sensor Networks

机译:无线传感器网络中基于能量的低功耗声源定位

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摘要

In this study, we show that the energy-based method of sound source localization can be successfully exploited for sound source localization under low power consumption conditions. Sound source localization is widely applied in battlefield environments where low power consumption is especially crucial and necessary for extending the lifespan of sensor nodes. We propose several variables that may (possibly) affect the path loss exponent. We provide data that shows that energy-based methods of sound source localization can accurately determine the appropriate path loss exponent and can improve localization accuracy. The results of our study also demonstrate that energy-based methods of sound source localization can significantly reduce localization errors by adjusting sensors’ weight coefficients when ambient (background) noise exists. Our test results indicate that our method of source localization using low power consumption is consistently accurate and is able to determine sound source localization multiple times over an extended period.
机译:在这项研究中,我们表明,基于能量的声源定位方法可以成功地在低功耗条件下用于声源定位。声源定位已广泛应用于战场环境中,在这些环境中,低功耗对于延长传感器节点的使用寿命至关重要,对于降低功耗至关重要。我们提出了几个可能(可能)影响路径损耗指数的变量。我们提供的数据表明,基于能量的声源定位方法可以准确确定适当的路径损耗指数,并可以提高定位精度。我们的研究结果还表明,当环境(背景)噪声存在时,通过调整传感器的权重系数,基于能量的声源定位方法可以显着减少定位误差。我们的测试结果表明,我们使用低功耗进行源定位的方法始终是准确的,并且能够在较长的时间内多次确定声源的定位。

著录项

  • 来源
    《Industrial Electronics, IEEE Transactions on》 |2017年第6期|4894-4902|共9页
  • 作者单位

    Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China;

    Qingdao Topscomm Communication Co., Ltd., Qingdao, China;

    Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China;

    Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China;

    Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China;

    Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China;

    Key Laboratory of Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 原文服务方 国家工程技术数字图书馆
  • 关键词

    Microphones; Acoustics; Power demand; Attenuation; Multiple signal classification; Robots; Correlation;

    机译:麦克风;声学;功率需求;衰减;多种信号分类;机器人;相关性;
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