Wireless and Satellite Systems. 9th International Conference, WiSATS 2017, Oxford, UK, September 14-15, 2017, Proceedings

Research Article

Toward Decentralised Consensus and Offloading for Area Coverage in a Fleet of Drones

  • @INPROCEEDINGS{10.1007/978-3-319-76571-6_10,
        author={Hanna Kavalionak and Emanuele Carlini and Pietro Cassar\'{a} and Carlo Meghini},
        title={Toward Decentralised Consensus and Offloading for Area Coverage in a Fleet of Drones},
        proceedings={Wireless and Satellite Systems. 9th International Conference, WiSATS 2017, Oxford, UK, September 14-15, 2017, Proceedings},
        proceedings_a={WISATS},
        year={2018},
        month={3},
        keywords={Decentralized consensus Drones Distributed tracking Dynamic environments},
        doi={10.1007/978-3-319-76571-6_10}
    }
    
  • Hanna Kavalionak
    Emanuele Carlini
    Pietro Cassarà
    Carlo Meghini
    Year: 2018
    Toward Decentralised Consensus and Offloading for Area Coverage in a Fleet of Drones
    WISATS
    Springer
    DOI: 10.1007/978-3-319-76571-6_10
Hanna Kavalionak1,*, Emanuele Carlini1,*, Pietro Cassarà1,*, Carlo Meghini1,*
  • 1: Institute of Information Science and Technologies (ISTI) of National Research Council (CNR)
*Contact email: hanna.kavalionak@isti.cnr.it, emanuele.carlini@isti.cnr.it, pietro.cassara@isti.cnr.it, carlo.meghini@isti.cnr.it

Abstract

A precise and dynamic visual coverage of a given area is an essential task in many smart contexts, ranging from civil communities to military applications. Due to the last years advancement in hardware miniaturization and efficiency, area coverage is often performed with a combination of static and moving devices, such as unmanned aerial vehicles (drones). Drones are useful to cope with the highly unpredictability and dynamicity of environments, but require specific and efficient solutions toward and efficient area coverage. In this paper we proposes an initial work toward a drone-based approach for the task of area coverage. In particular, we focus our analysis on the following points: (i) decentralized consensus for movement planning, and (ii) the integration of cloud computing infrastructures and technologies for computation offloading, both for image analysis and movement planning.