Ad Hoc Networks. 6th International ICST Conference, ADHOCNETS 2014, Rhodes, Greece, August 18-19, 2014, Revised Selected Papers

Research Article

Validation and Evaluation of the Chosen Path Planning Algorithm for Localization of Nodes Using an Unmanned Aerial Vehicle in Disaster Scenarios

Download
409 downloads
  • @INPROCEEDINGS{10.1007/978-3-319-13329-4_17,
        author={Oleksandr Artemenko and Alina Rubina and Oleg Golokolenko and Tobias Simon and Jan R\o{}misch and Andreas Mitschele-Thiel},
        title={Validation and Evaluation of the Chosen Path Planning Algorithm for Localization of Nodes Using an Unmanned Aerial Vehicle in Disaster Scenarios},
        proceedings={Ad Hoc Networks. 6th International ICST Conference, ADHOCNETS 2014, Rhodes, Greece, August 18-19, 2014, Revised Selected Papers},
        proceedings_a={ADHOCNETS},
        year={2014},
        month={11},
        keywords={Localization Path planing algorithm Mobile beacon Disaster Unmanned aerial vehicle Simulation Experiment},
        doi={10.1007/978-3-319-13329-4_17}
    }
    
  • Oleksandr Artemenko
    Alina Rubina
    Oleg Golokolenko
    Tobias Simon
    Jan Römisch
    Andreas Mitschele-Thiel
    Year: 2014
    Validation and Evaluation of the Chosen Path Planning Algorithm for Localization of Nodes Using an Unmanned Aerial Vehicle in Disaster Scenarios
    ADHOCNETS
    Springer
    DOI: 10.1007/978-3-319-13329-4_17
Oleksandr Artemenko1,*, Alina Rubina1,*, Oleg Golokolenko1,*, Tobias Simon1,*, Jan Römisch1,*, Andreas Mitschele-Thiel1,*
  • 1: Technische Universität Ilmenau
*Contact email: Oleksandr.Artemenko@tu-ilmenau.de, Alina.Rubina@tu-ilmenau.de, Oleg.Golokolenko@tu-ilmenau.de, Tobias.Simon@tu-ilmenau.de, Jan.Roemisch@tu-ilmenau.de, Mitsch@tu-ilmenau.de

Abstract

In this paper, a so-called LMAT (ocalization algorithm with a obile nchor node based on rilateration) path planning algorithm is being validated using simulations and evaluated in experiments using a real unmanned aerial vehicle (UAV). Our focus is to find out if the flying path used for our unique scenario, represented by a disastrous event, fulfills the required accuracy. In our scenario, we consider an UAV that moves around buildings and localizes “survived” devices inside a building. This can help to detect victims and to accelerate the rescue process. For this, fast and accurate localization is essential.