Ad Hoc Networks. 8th International Conference, ADHOCNETS 2016, Ottawa, Canada, September 26-27, 2016, Revised Selected Papers

Research Article

Investigation and Adaptation of Signal Propagation Models for a Mixed Outdoor-Indoor Scenario Using a Flying GSM Base Station

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  • @INPROCEEDINGS{10.1007/978-3-319-51204-4_11,
        author={Alina Rubina and Oleksandr Andryeyev and Mehdi Harounabadi and Ammar Al-Khani and Oleksandr Artemenko and Andreas Mitschele-Thiel},
        title={Investigation and Adaptation of Signal Propagation Models for a Mixed Outdoor-Indoor Scenario Using a Flying GSM Base Station},
        proceedings={Ad Hoc Networks. 8th International Conference, ADHOCNETS 2016, Ottawa, Canada, September 26-27, 2016, Revised Selected Papers},
        proceedings_a={ADHOCNETS},
        year={2017},
        month={4},
        keywords={MAV Signal propagation models Quadrocopter GSM Log-distance model},
        doi={10.1007/978-3-319-51204-4_11}
    }
    
  • Alina Rubina
    Oleksandr Andryeyev
    Mehdi Harounabadi
    Ammar Al-Khani
    Oleksandr Artemenko
    Andreas Mitschele-Thiel
    Year: 2017
    Investigation and Adaptation of Signal Propagation Models for a Mixed Outdoor-Indoor Scenario Using a Flying GSM Base Station
    ADHOCNETS
    Springer
    DOI: 10.1007/978-3-319-51204-4_11
Alina Rubina1,*, Oleksandr Andryeyev1,*, Mehdi Harounabadi1,*, Ammar Al-Khani1,*, Oleksandr Artemenko1,*, Andreas Mitschele-Thiel1,*
  • 1: Ilmenau University of Technology
*Contact email: alina.rubina@tu-ilmenau.de, oleksandr.andryeyev@tu-ilmenau.de, mehdi.harounabadi@tu-ilmenau.de, ammar.al-khani@tu-ilmenau.de, lestoa@gmail.com, mitsch@tu-ilmenau.de

Abstract

In this paper, we consider a disaster scenario where a Micro Aerial Vehicle (MAV) is flying around the urban area and tries to localize wireless devices such as mobile phones. There is a high chance of those devices being in the vicinity of their human owners. Fast and simple approach to map the received signal strength to distance is the Received Signal Strength Indicator (RSSI). The more accurate mapping ensures higher localization accuracy. As a consequence, an accurate signal propagation model is required.