Optimization of sensor deployment for acoustic detection and localization in terrestrial environments
Optimization of sensor deployment for acoustic detection and localization in terrestrial environments
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优化陆地环境中声学检测和定位的传感器部署
DOI：
10.1002/rse2.97
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发表时间：
2018
影响因子：
5.5
通讯作者：
Piña-Covarrubias E
中科院分区：
文献类型：
--
作者：
Piña-Covarrubias E
声学传感器在小型化、能效和可负担性方面的快速发展，加上智能能力的新创新，极大地扩大了使用大规模传感器电网在区域范围内对野生动物保护进行地面监测的机会。环境传感器的最优布置和源的概率定位以前只在理论上考虑，而没有对陆地声传感器进行测试。传统上，守恒应用将检测建模为距离的函数。我们开发了近乎最佳的传感器位置的概率算法，以及作为声压空间变化函数的声源定位。我们使用了一个原则性的地理信息系统工具来绘制声景图，在一个使用枪击传感器的热带森林案例研究中测试了这些方法。在丘陵地形上，与正方形网格相比，接近最佳的位置使所需的传感器数量减半。声学设备的测试部署与预测的枪击探测成功相匹配，并追踪到当地。这些方法适用于广泛的目标声音。它们只需要根据噪声水平对声音检测概率的经验估计，以及从地形栖息地地图模拟的声音景观。这些方法允许保护生物学家计划具有成本效益的部署，以测量目标声音，并评估由于访问或成本限制或多用途而造成的次优传感器放置的影响。
The rapid evolution in miniaturization, power efficiency and affordability of acoustic sensors, combined with new innovations in smart capability, are vastly expanding opportunities in ground‐level monitoring for wildlife conservation at a regional scale using massive sensor grids. Optimal placement of environmental sensors and probabilistic localization of sources have previously been considered only in theory, and not tested for terrestrial acoustic sensors. Conservation applications conventionally model detection as a function of distance. We developed probabilistic algorithms for near‐optimal placement of sensors, and for localization of the sound source as a function of spatial variation in sound pressure. We employed a principled‐GIS tool for mapping soundscapes to test the methods on a tropical‐forest case study using gunshot sensors. On hilly terrain, near‐optimal placement halved the required number of sensors compared to a square grid. A test deployment of acoustic devices matched the predicted success in detecting gunshots, and traced them to their local area. The methods are applicable to a broad range of target sounds. They require only an empirical estimate of sound‐detection probability in response to noise level, and a soundscape simulated from a topographic habitat map. These methods allow conservation biologists to plan cost‐effective deployments for measuring target sounds, and to evaluate the impacts of sub‐optimal sensor placements imposed by access or cost constraints, or multipurpose uses.
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影响因子：
2
作者：
W. Murphy;R. Tubbs
通讯作者：
R. Tubbs
使用声音映射工具 ArcGIS 工具箱对人为噪声传播进行建模
影响因子：
4.9
作者：
A. C. Keyel;S. Reed;M. McKenna;G. Wittemyer
通讯作者：
G. Wittemyer
影响因子：
6.6
作者：
Hill, Andrew P.;Prince, Peter;Rogers, Alex
通讯作者：
Rogers, Alex
影响因子：
8.5
作者：
Berger-Tal, Oded;Lahoz-Monfort, Jose J.
通讯作者：
Lahoz-Monfort, Jose J.
影响因子：
64.8
作者：
D. Cressey
通讯作者：
D. Cressey