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Optimization of Routes in the Internet of Things

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2018, ruSMART 2018)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 11118))

Abstract

This paper provides an analysis of approaches to choosing a route in the Internet of things networks. A method is proposed for choosing a route, taking into account the quality of its individual sections. The probability of collision is used as an indicator of the quality of the route segment. The proposed method is based on the use of the algorithm for finding the shortest routes in a weighted graph, the weights of which are the probability of collisions.

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References

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Author information

Authors and Affiliations

  1. Department of Communication Networks and Data Transmission, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications (SPbSUT), Saint Petersburg, Russian Federation

    Omar Abdulkareem Mahmood & Alexander Paramonov

  2. Department of Communications Engineering, College of Engineering, University of Diyala, Diyala, Iraq

    Omar Abdulkareem Mahmood

Authors
  1. Omar Abdulkareem Mahmood
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  2. Alexander Paramonov
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Corresponding author

Correspondence to Omar Abdulkareem Mahmood .

Editor information

Editors and Affiliations

  1. Tampere University of Technology, Tampere, Finland

    Olga Galinina

  2. Tampere University of Technology, Tampere, Finland

    Sergey Andreev

  3. FRUCT Oy, Helsinki, Finland

    Sergey Balandin

  4. Tampere University of Technology, Tampere, Finland

    Yevgeni Koucheryavy

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Mahmood, O.A., Paramonov, A. (2018). Optimization of Routes in the Internet of Things. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2018 2018. Lecture Notes in Computer Science(), vol 11118. Springer, Cham. https://doi.org/10.1007/978-3-030-01168-0_52

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  • DOI: https://doi.org/10.1007/978-3-030-01168-0_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01167-3

  • Online ISBN: 978-3-030-01168-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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