TY - GEN
T1 - PdUC-D
T2 - 3rd International Conference on Smart Objects and Technologies for Social Good, GOODTECHS 2017
AU - Alvear, Oscar
AU - Calafate, Carlos T.
AU - Zema, Nicola Roberto
AU - Natalizio, Enrico
AU - Hernández-Orallo, Enrique
AU - Cano, Juan Carlos
AU - Manzoni, Pietro
N1 - Publisher Copyright:
© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Air pollution monitoring
KW - Discretized system
KW - UAV control system
UR - https://dialnet.unirioja.es/servlet/articulo?codigo=6266272
U2 - 10.1007/978-3-319-76111-4_38
DO - 10.1007/978-3-319-76111-4_38
M3 - Contribución a la conferencia
AN - SCOPUS:85043589006
SN - 9783319761107
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 385
EP - 394
BT - Smart Objects and Technologies for Social Good - 3rd International Conference, GOODTECHS 2017, Proceedings
A2 - Calafate, Carlos
A2 - Marquez-Barja, Johann
A2 - Guidi, Barbara
A2 - Ricci, Laura
A2 - Gaggi, Ombretta
PB - Springer Verlag
Y2 - 29 November 2017 through 30 November 2017
ER -