DiVA: Distributed Voronoi-based acoustic source localization with wireless sensor networks
作者: Xueshu Zheng, Shuailing Yang, Naigao Jin, Lei Wang, Mathew L. Wymore, Daji Qiao
摘要
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.