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mca 16(7): e5

Research Article

Evaluation of different signal propagation models for a mixed indoor-outdoor scenario using empirical data

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  • @ARTICLE{10.4108/eai.20-6-2016.151519,
        author={Oleksandr Artemenko and Alina Rubina and Adarsh Harishchandra Nayak and Sanjeeth Baptist Menezes and Andreas Mitschele-Thiel},
        title={Evaluation of different signal propagation models for a mixed indoor-outdoor scenario using empirical data},
        journal={EAI Endorsed Transactions on Mobile Communications and Applications},
        volume={2},
        number={7},
        publisher={EAI},
        journal_a={MCA},
        year={2016},
        month={6},
        keywords={Path loss, Signal propagation models, Signal strength, Experiment},
        doi={10.4108/eai.20-6-2016.151519}
    }
    
  • Oleksandr Artemenko
    Alina Rubina
    Adarsh Harishchandra Nayak
    Sanjeeth Baptist Menezes
    Andreas Mitschele-Thiel
    Year: 2016
    Evaluation of different signal propagation models for a mixed indoor-outdoor scenario using empirical data
    MCA
    EAI
    DOI: 10.4108/eai.20-6-2016.151519
Oleksandr Artemenko1, Alina Rubina1,*, Adarsh Harishchandra Nayak1, Sanjeeth Baptist Menezes1, Andreas Mitschele-Thiel1
  • 1: Integrated Communication Systems Group, The Department of Computer Science & Automation, Technische Universität Ilmenau, 98693 Ilmenau, Germany
*Contact email: alina.rubina@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. A 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, the International Telecommunication Union (ITU) model, 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
Received
2015-09-30
Accepted
2015-12-23
Published
2016-06-20
Publisher
EAI
http://dx.doi.org/10.4108/eai.20-6-2016.151519

Copyright © 2016 Oleksandr Artemenko et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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