Paper Info
Title
Optimizing Wireless Sensor Network Installations by Visibility Analysis on 3D Point Clouds.
Abstract
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.
Year
DOI
Venue
2019
10.3390/ijgi8100460
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
Keywords
Field
DocType
wireless sensor networks,landslide monitoring,visibility analysis,3D point clouds
Structure from motion,Visibility,MATLAB,Software deployment,Computer science,Real-time computing,Lidar,Line-of-sight,Point cloud,Wireless sensor network
Journal
Volume
Issue
Citations 
8
10
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Teresa Gracchi100.68
giovanni gigli2142.78
François Noël300.34
Michel Jaboyedoff430.74
Claudia Madiai500.34
Nicola Casagli617825.25