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Survey on Indoor Positioning Techniques and Systems

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Information and Communication Technology for Development for Africa (ICT4DA 2017)

Abstract

Navigating different devices and human beings in indoor scene has become very crucial for number of tasks specially in automated system. The efficiency of outdoor positioning has become excellent due to the development of GPS. However lots of mass market applications require very excellent positioning capabilities in almost every environments. As a result, indoor positioning has attracted the researchers attention and has been a focus of research during the past decades. This paper presents an overview of the four typical indoor localization schemes namely triangulation, trilateration, proximity and scene analysis are analyze and discussed. Moreover it gives a detailed survey of different positioning systems which are being both research-oriented solutions and commercial products and also attempts to classify the different systems into different groups based on the technology used. We categorized all 11 sighted wireless indoor positioning systems into 6 distinct technologies namely Infrared signals, radio frequency, ultrasound waves, vision-based analysis, electromagnetic waves, and audible sound and explains the measuring principles of each. These approaches are characterized and their key performance parameters are quantified individually. For a better understanding, these parameters are briefly compared in table form for each system so as to outline the trade-offs from the viewpoint of a user.

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Author information

Authors and Affiliations

  1. School of Electrical and Computer Engineering, Addis Ababa Institute of Technology (AAiT), Addis Ababa University (AAU), Addis Ababa, Ethiopia

    Habib Mohammed Hussien, Yalemzewed Negash Shiferaw & Negassa Basha Teshale

Authors
  1. Habib Mohammed Hussien
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  2. Yalemzewed Negash Shiferaw
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  3. Negassa Basha Teshale
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Corresponding author

Correspondence to Habib Mohammed Hussien .

Editor information

Editors and Affiliations

  1. Council for Scientific and Industrial Research, Pretoria, South Africa

    Fisseha Mekuria

  2. Information Technology, University of Turku, Turku, Finland

    Ethiopia Enideg Nigussie

  3. Dresden University of Technology, Dresden, Germany

    Waltenegus Dargie

  4. Aalto University, Helsinki, Finland

    Mutafugwa Edward

  5. Bahir Dar Institute of Technology, Bahir Dar, Ethiopia

    Tesfa Tegegne

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Hussien, H.M., Shiferaw, Y.N., Teshale, N.B. (2018). Survey on Indoor Positioning Techniques and Systems. In: Mekuria, F., Nigussie, E., Dargie, W., Edward, M., Tegegne, T. (eds) Information and Communication Technology for Development for Africa. ICT4DA 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 244. Springer, Cham. https://doi.org/10.1007/978-3-319-95153-9_5

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  • DOI: https://doi.org/10.1007/978-3-319-95153-9_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95152-2

  • Online ISBN: 978-3-319-95153-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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