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

Oleksandr Artemenko; Alina Rubina; Oleg Golokolenko; Tobias Simon; Jan Römisch; Andreas Mitschele-Thiel

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

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@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.

Keywords: Localization Path planing algorithm Mobile beacon Disaster Unmanned aerial vehicle Simulation Experiment

Published: 2014-11-28

: http://dx.doi.org/10.1007/978-3-319-13329-4_17