a discretized approach to air pollution monitoring using uav-based sensing
Recently, Unmanned Aerial Vehicles (UAVs) have become a cheap alternative to sense pollution values in a certain area due to their flexibility and ability to carry small sensing units. In a previous work, we proposed a solution, called Pollution-driven UAV Control (PdUC), to allow UAVs to autonomous...
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2019
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| Acceso en línea: | http://dspace.ucuenca.edu.ec/handle/123456789/31928 https://www.scopus.com/record/display.uri?eid=2-s2.0-85047663427&doi=10.1007%2fs11036-018-1065-4&origin=inward&txGid=b313b2ac14590515970f93c07fc40f72 |
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Air pollution monitoring Discretized systems UAV control system |
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Air pollution monitoring Discretized systems UAV control system Alvear Alvear, Oscar Patricio a discretized approach to air pollution monitoring using uav-based sensing |
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Recently, Unmanned Aerial Vehicles (UAVs) have become a cheap alternative to sense pollution values in a certain area due to their flexibility and ability to carry small sensing units. In a previous work, we proposed a solution, called Pollution-driven UAV Control (PdUC), to allow UAVs to autonomously trace pollutant sources, and monitor air quality in the surrounding area. However, despite operational, we found that the proposed solution consumed excessive time, especially when considering the battery lifetime of current multi-rotor UAVs. In this paper, we have improved our previously proposed solution by adopting a space discretization technique. Discretization is one of the most efficient mathematical approaches to optimize a system by transforming a continuous domain into its discrete counterpart. The improvement proposed in this paper, called PdUC-Discretized (PdUC-D), consists of an optimization whereby UAVs only move between the central tile positions of a discretized space, avoiding monitoring locations separated by small distances, and whose actual differences in terms of air quality are barely noticeable. We also analyze the impact of varying the tile size on the overall process, showing that smaller tile sizes offer high accuracy at the cost of an increased flight time. Taking into account the obtained results, we consider that a tile size of 100 × 100 meters offers an adequate trade-off between flight time and monitoring accuracy. Experimental results show that PdUC-D drastically reduces the convergence time compared to the original PdUC proposal without loss of accuracy, and it also increases the performance gap with standard mobility patterns such as Spiral and Billiard. © 2018, Springer Science+Business Media, LLC, part of Springer Nature. |
| author |
Alvear Alvear, Oscar Patricio |
| author_facet |
Alvear Alvear, Oscar Patricio |
| author_sort |
Alvear Alvear, Oscar Patricio |
| title |
a discretized approach to air pollution monitoring using uav-based sensing |
| title_short |
a discretized approach to air pollution monitoring using uav-based sensing |
| title_full |
a discretized approach to air pollution monitoring using uav-based sensing |
| title_fullStr |
a discretized approach to air pollution monitoring using uav-based sensing |
| title_full_unstemmed |
a discretized approach to air pollution monitoring using uav-based sensing |
| title_sort |
discretized approach to air pollution monitoring using uav-based sensing |
| publishDate |
2019 |
| url |
http://dspace.ucuenca.edu.ec/handle/123456789/31928 https://www.scopus.com/record/display.uri?eid=2-s2.0-85047663427&doi=10.1007%2fs11036-018-1065-4&origin=inward&txGid=b313b2ac14590515970f93c07fc40f72 |
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1635523741737811968 |
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oai:localhost:123456789-319282019-03-12T09:13:38Z a discretized approach to air pollution monitoring using uav-based sensing Alvear Alvear, Oscar Patricio Air pollution monitoring Discretized systems UAV control system Recently, Unmanned Aerial Vehicles (UAVs) have become a cheap alternative to sense pollution values in a certain area due to their flexibility and ability to carry small sensing units. In a previous work, we proposed a solution, called Pollution-driven UAV Control (PdUC), to allow UAVs to autonomously trace pollutant sources, and monitor air quality in the surrounding area. However, despite operational, we found that the proposed solution consumed excessive time, especially when considering the battery lifetime of current multi-rotor UAVs. In this paper, we have improved our previously proposed solution by adopting a space discretization technique. Discretization is one of the most efficient mathematical approaches to optimize a system by transforming a continuous domain into its discrete counterpart. The improvement proposed in this paper, called PdUC-Discretized (PdUC-D), consists of an optimization whereby UAVs only move between the central tile positions of a discretized space, avoiding monitoring locations separated by small distances, and whose actual differences in terms of air quality are barely noticeable. We also analyze the impact of varying the tile size on the overall process, showing that smaller tile sizes offer high accuracy at the cost of an increased flight time. Taking into account the obtained results, we consider that a tile size of 100 × 100 meters offers an adequate trade-off between flight time and monitoring accuracy. Experimental results show that PdUC-D drastically reduces the convergence time compared to the original PdUC proposal without loss of accuracy, and it also increases the performance gap with standard mobility patterns such as Spiral and Billiard. © 2018, Springer Science+Business Media, LLC, part of Springer Nature. Recently, Unmanned Aerial Vehicles (UAVs) have become a cheap alternative to sense pollution values in a certain area due to their flexibility and ability to carry small sensing units. In a previous work, we proposed a solution, called Pollution-driven UAV Control (PdUC), to allow UAVs to autonomously trace pollutant sources, and monitor air quality in the surrounding area. However, despite operational, we found that the proposed solution consumed excessive time, especially when considering the battery lifetime of current multi-rotor UAVs. In this paper, we have improved our previously proposed solution by adopting a space discretization technique. Discretization is one of the most efficient mathematical approaches to optimize a system by transforming a continuous domain into its discrete counterpart. The improvement proposed in this paper, called PdUC-Discretized (PdUC-D), consists of an optimization whereby UAVs only move between the central tile positions of a discretized space, avoiding monitoring locations separated by small distances, and whose actual differences in terms of air quality are barely noticeable. We also analyze the impact of varying the tile size on the overall process, showing that smaller tile sizes offer high accuracy at the cost of an increased flight time. Taking into account the obtained results, we consider that a tile size of 100 × 100 meters offers an adequate trade-off between flight time and monitoring accuracy. Experimental results show that PdUC-D drastically reduces the convergence time compared to the original PdUC proposal without loss of accuracy, and it also increases the performance gap with standard mobility patterns such as Spiral and Billiard. © 2018, Springer Science+Business Media, LLC, part of Springer Nature. 2019-02-06T16:12:49Z 2019-02-06T16:12:49Z 2018 info:eu-repo/semantics/ARTÍCULO 1383-469X http://dspace.ucuenca.edu.ec/handle/123456789/31928 https://www.scopus.com/record/display.uri?eid=2-s2.0-85047663427&doi=10.1007%2fs11036-018-1065-4&origin=inward&txGid=b313b2ac14590515970f93c07fc40f72 10.1007/s11036-018-1065-4 es_ES instname:Universidad de Cuenca reponame:Repositorio Digital de la Universidad de Cuenca info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/3.0/ec/ Mobile Networks and Applications info:eu-repo/semantics/Versión publicada |
| score |
11,871979 |