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

Alina Rubina; Oleksandr Andryeyev; Mehdi Harounabadi; Ammar Al-Khani; Oleksandr Artemenko; Andreas Mitschele-Thiel

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.

Keywords: MAV Signal propagation models Quadrocopter GSM Log-distance model

Published: 2017-04-24
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-51204-4_11