ARTÍCULO DE CONFERENCIA
PdUC-D: a discretized UAV guidance system for air pollution monitoring tasks
Fecha
2018Autor
Alvear Alvear, Oscar Patricio
Calafate, Carlos
Zema, Nicola Roberto
Natalizio, Enrico
Institución
Resumen
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.