Smart Objects and Technologies for Social Good. Third International Conference, GOODTECHS 2017, Pisa, Italy, November 29-30, 2017, Proceedings

Research Article

PdUC-D: A Discretized UAV Guidance System for Air Pollution Monitoring Tasks

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  • @INPROCEEDINGS{10.1007/978-3-319-76111-4_38,
        author={Oscar Alvear and Carlos Calafate and Nicola Zema and Enrico Natalizio and Enrique Hern\^{a}ndez-Orallo and Juan-Carlos Cano and Pietro Manzoni},
        title={PdUC-D: A Discretized UAV Guidance System for Air Pollution Monitoring Tasks},
        proceedings={Smart Objects and Technologies for Social Good. Third International Conference, GOODTECHS 2017, Pisa, Italy, November 29-30, 2017, Proceedings},
        proceedings_a={GOODTECHS},
        year={2018},
        month={3},
        keywords={UAV control system Air pollution monitoring Discretized system},
        doi={10.1007/978-3-319-76111-4_38}
    }
    
  • Oscar Alvear
    Carlos Calafate
    Nicola Zema
    Enrico Natalizio
    Enrique Hernández-Orallo
    Juan-Carlos Cano
    Pietro Manzoni
    Year: 2018
    PdUC-D: A Discretized UAV Guidance System for Air Pollution Monitoring Tasks
    GOODTECHS
    Springer
    DOI: 10.1007/978-3-319-76111-4_38
Oscar Alvear,*, Carlos Calafate1, Nicola Zema2, Enrico Natalizio3, Enrique Hernández-Orallo1, Juan-Carlos Cano1, Pietro Manzoni1
  • 1: Universitat Politècnica de València
  • 2: Univ Lille Nord de France, IFSTTAR, COSYS
  • 3: Sorbonne Universités, Université de Technologie de Compiègne, CNRS, Laboratoire Heudiasyc
*Contact email: oscar.alvear@alttics.com

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.