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Open AccessArticle

Optimizing Wireless Sensor Network Installations by Visibility Analysis on 3D Point Clouds

1
Department of Earth Sciences, University of Florence, Via Giorgio La Pira 4, 50121 Florence, Italy
2
Risk Analysis Group, Institute of Earth Sciences, University of Lausanne, Géopolis, 1015 Lausanne, Switzerland
3
Department of Civil and Environmental Engineering, University of Florence, Via di Santa Marta 3, 50139 Florence, Italy
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(10), 460; https://doi.org/10.3390/ijgi8100460
Received: 29 July 2019 / Revised: 11 September 2019 / Accepted: 10 October 2019 / Published: 16 October 2019
(This article belongs to the Special Issue Geospatial Approaches to Landslide Mapping and Monitoring)
In this paper, a MATLAB tool for the automatic detection of the best locations to install a wireless sensor network (WSN) is presented. The implemented code works directly on high-resolution 3D point clouds and aims to help in positioning sensors that are part of a network requiring inter-visibility, namely, a clear line of sight (LOS). Indeed, with the development of LiDAR and Structure from Motion technologies, there is an opportunity to directly use 3D point cloud data to perform visibility analyses. By doing so, many disadvantages of traditional modelling and analysis methods can be bypassed. The algorithm points out the optimal deployment of devices following mainly two criteria: inter-visibility (using a modified version of the Hidden Point Removal operator) and inter-distance. Furthermore, an option to prioritize significant areas is provided. The proposed method was first validated on an artificial 3D model, and then on a landslide 3D point cloud acquired from terrestrial laser scanning for the real positioning of an ultrawide-band WSN already installed in 2016. The comparison between collected data and data acquired by the WSN installed following traditional patterns has demonstrated its ability for the optimal deployment of a WSN requiring inter-visibility. View Full-Text
Keywords: wireless sensor networks; landslide monitoring; visibility analysis; 3D point clouds wireless sensor networks; landslide monitoring; visibility analysis; 3D point clouds
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Gracchi, T.; Gigli, G.; Noël, F.; Jaboyedoff, M.; Madiai, C.; Casagli, N. Optimizing Wireless Sensor Network Installations by Visibility Analysis on 3D Point Clouds. ISPRS Int. J. Geo-Inf. 2019, 8, 460.

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