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Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/33290
Title: PdUC-D: A Discretized UAV Guidance System for Air Pollution Monitoring Tasks
Other Titles: PdUC-D: un sistema de guía de UAV discreto para tareas de monitoreo de la contaminación del aire
Authors: Alvear Alvear, Oscar Patricio
Calafate, Carlos
Zema, Nicola Roberto
Natalizio, Enrico
metadata.dc.ucuenca.correspondencia: Alvear Alvear, Oscar Patricio, oscar.alvear@alttics.com
Keywords: Air Pollution Monitoring
Discretized System
Uav Control System
metadata.dc.ucuenca.areaconocimientofrascatiamplio: 2. Ingeniería y Tecnología
metadata.dc.ucuenca.areaconocimientofrascatidetallado: 2.7.1 Ingeniería Ambiental y Geológica
metadata.dc.ucuenca.areaconocimientofrascatiespecifico: 2.7 Ingeniería del Medio Ambiente
metadata.dc.ucuenca.areaconocimientounescoamplio: 05 - Ciencias Físicas, Ciencias Naturales, Matemáticas y Estadísticas
metadata.dc.ucuenca.areaconocimientounescodetallado: 0521 - Ciencias Ambientales
metadata.dc.ucuenca.areaconocimientounescoespecifico: 052 - Medio Ambiente
Issue Date: 2018
metadata.dc.ucuenca.volumen: volumen 233
metadata.dc.source: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
metadata.dc.identifier.doi: 
Publisher: Springer Verlag
metadata.dc.description.city: 
Pisa
metadata.dc.type: ARTÍCULO DE CONFERENCIA
Abstract: 
Discretization is one of the most efficient mathematical approaches to simplify (optimize) a system by transforming a continuous domain into its discrete counterpart. In this paper, by adopting space discretization, we have modified the previously proposed solution called PdUC (Pollution-driven UAV Control), which is a protocol designed to guide UAVs that monitor air quality in a specific area by focusing on the most polluted areas. The improvement proposed in this paper, called PdUC-D, consists of an optimization whereby UAVs only move between the central tile positions of a discretized space, avoiding to monitor locations separated by small distances, and whose actual differences in terms of air quality are barely noticeable. Experimental results show that PdUC-D drastically reduces convergence time compared to the original PdUC proposal without loss of accuracy. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.
Description: 
Discretization is one of the most efficient mathematical approaches to simplify (optimize) a system by transforming a continuous domain into its discrete counterpart. In this paper, by adopting space discretization, we have modified the previously proposed solution called PdUC (Pollution-driven UAV Control), which is a protocol designed to guide UAVs that monitor air quality in a specific area by focusing on the most polluted areas. The improvement proposed in this paper, called PdUC-D, consists of an optimization whereby UAVs only move between the central tile positions of a discretized space, avoiding to monitor locations separated by small distances, and whose actual differences in terms of air quality are barely noticeable. Experimental results show that PdUC-D drastically reduces convergence time compared to the original PdUC proposal without loss of accuracy. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.
URI: http://dspace.ucuenca.edu.ec/handle/123456789/33290
https://www.scopus.com/record/display.uri?eid=2-s2.0-85043589006&doi=10.1007%2f978-3-319-76111-4_38&origin=inward&txGid=1a328505330c40c27b11f71ced6037ab
metadata.dc.ucuenca.urifuente: https://www.springer.com/series/8197
ISBN: 978-331976110-7
ISSN: 18678211
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