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Ad Hoc Networks. 7th International Conference, AdHocHets 2015, San Remo, Italy, September 1–2, 2015, Proceedings

Research Article

Evaluation of Different Signal Propagation Models for a Mixed Indoor-Outdoor Scenario Using Empirical Data

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  • @INPROCEEDINGS{10.1007/978-3-319-25067-0_1,
        author={Oleksandr Artemenko and Adarsh Nayak and Sanjeeth Menezes and Andreas Mitschele-Thiel},
        title={Evaluation of Different Signal Propagation Models for a Mixed Indoor-Outdoor Scenario Using Empirical Data},
        proceedings={Ad Hoc Networks. 7th International Conference, AdHocHets 2015, San Remo, Italy, September 1--2, 2015, Proceedings},
        proceedings_a={ADHOCNETS},
        year={2015},
        month={9},
        keywords={Path loss Signal propagation models Signal strength Experiment},
        doi={10.1007/978-3-319-25067-0_1}
    }
    
  • Oleksandr Artemenko
    Adarsh Nayak
    Sanjeeth Menezes
    Andreas Mitschele-Thiel
    Year: 2015
    Evaluation of Different Signal Propagation Models for a Mixed Indoor-Outdoor Scenario Using Empirical Data
    ADHOCNETS
    Springer
    DOI: 10.1007/978-3-319-25067-0_1
Oleksandr Artemenko1,*, Adarsh Nayak1,*, Sanjeeth Menezes1,*, Andreas Mitschele-Thiel1,*
  • 1: Technische Universität Ilmenau
*Contact email: Oleksandr.Artemenko@tu-ilmenau.de, Adarsh.Nayak@tu-ilmenau.de, Sanjeeth.Menezes@tu-ilmenau.de, Mitsch@tu-ilmenau.de

Abstract

In this paper, we are choosing a suitable indoor-outdoor propagation model out of the existing models by considering path loss and distance as parameters. Path loss is calculated empirically by placing emitter nodes inside a building. A receiver placed outdoors is represented by a Quadrocopter (QC) that receives beacon messages from indoor nodes. As per our analysis, Stanford University Interim (SUI) model, COST-231 Hata model, Green-Obaidat model, Free Space model, Log-Distance Path Loss model and Electronic Communication Committee 33 (ECC-33) models are chosen and evaluated using empirical data collected in a real environment. The aim is to determine if the analytically chosen models fit our scenario by estimating the minimal standard deviation from the empirical data.

Keywords
Path loss Signal propagation models Signal strength Experiment
Published
2015-09-25
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-25067-0_1
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