Acoustic Source Localization in Wireless Sensor Networks

Mingfei Wang, Linlin Ci, Ping Zhan, Yongjun Xu
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Abstract

In recent years, wireless sensor networks have become an evolving technology that has a wide range of potential applications. Acoustic source localization is a hot research topic with many possible application areas, such as voice enhancement, intruder detection, sniper localization, and automatic tracking of speakers in an e-conferencing environment. Utilization of wireless sensor networks for acoustic source localization can provide good coverage, which not only enhances the accuracy, but also increases the robustness of the overall system. In this paper, we gave an overview of the acoustic source localization based on wireless sensor networks. Firstly, we analyzed the characteristics of acoustic source localization in wireless sensor networks. Then, we classified the existing typical acoustic source localization alogrithms in wireless sensor networks into centralized alogrithms and distributed algorithms. At the same time, we introduced the algorithms and discussed both merits and drawbacks of the algorithms. Finally, we pointed out the design issues of related middleware services.
无线传感器网络中的声源定位
近年来,无线传感器网络已成为一项不断发展的技术,具有广泛的潜在应用前景。声源定位是一个热门的研究课题,在电子会议环境下,声源定位有许多可能的应用领域,如语音增强、入侵者检测、狙击定位和说话人的自动跟踪等。利用无线传感器网络进行声源定位可以提供良好的覆盖,不仅提高了定位精度,而且增加了整个系统的鲁棒性。本文对基于无线传感器网络的声源定位技术进行了综述。首先,分析了无线传感器网络中声源定位的特点。然后,将现有典型的无线传感器网络声源定位算法分为集中式算法和分布式算法。同时,我们介绍了这些算法,并讨论了算法的优缺点。最后指出了相关中间件服务的设计问题。
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