DiVA: Distributed Voronoi-based acoustic source localization with wireless sensor networks

Xueshu Zheng, S. Yang, Naigao Jin, Lei Wang, Mathew L. Wymore, D. Qiao
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引用次数: 4

Abstract

This paper presents DiVA, a novel hybrid range-free and range-based acoustic source localization scheme that uses an ad-hoc network of microphone sensor nodes to produce an accurate estimate of the source's location in the presence of various real-world challenges. DiVA uses range-free pairwise comparisons of sound detection timestamps between local Voronoi neighbors to identify the node closest to the acoustic source, which then estimates the source's location using a constrained range-based method. Through simulation and experimental evaluations, DiVA is shown to be accurate and highly robust, making it practical for real-world applications.
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DiVA:基于voronoi的分布式声源定位与无线传感器网络
本文介绍了DiVA,一种新型的无距离和基于距离的混合声源定位方案,该方案使用麦克风传感器节点的自组织网络,在各种现实世界挑战的存在下准确估计声源的位置。DiVA使用无距离两两比较本地Voronoi邻居之间的声音检测时间戳来识别最接近声源的节点,然后使用基于受限距离的方法估计声源的位置。通过仿真和实验评估,DiVA被证明是准确的和高度鲁棒性的,使其在实际应用中具有实用性。
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