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A Resource-Aware Method for Parallel D2D Data Streaming

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Computational Collective Intelligence (ICCCI 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12876))

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Abstract

Smartphones have become an integral part of our lives. One of their crucial functionalities is sharing data. We analyze the communication modules in Android devices (WiFi, Bluetooth, NFC) in terms of parallel data streaming capabilities. We find that increasing the number of concurrent threads reduces the broadcast time, but also consumes a lot of other resources, e.g. RAM. Furthermore, the linear increase in the number of threads created does not guarantee the linear decrease in transfer time. We also find that the Bluetooth 5.0 has, in fact, slower transmission rate than its predecessors.

This work was partially supported by the National Science Centre, Poland, projects no. 2020/37/B/ST6/03806 and 2016/21/B/ST6/01463; by the statutory funds of the Department of Computational Intelligence, Wroclaw University of Science and Technology; by the European Regional Development Fund as a part of the 2014–2020 Smart Growth Operational Programme, CLARIN - Common Language Resources and Technology Infrastructure, project no. POIR.04.02.00-00C002/19.

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Authors and Affiliations

  1. Department of Artificial Intelligence, Faculty of Information and Communication Technology, Wrocław University of Science and Technology, Wrocław, Poland

    Stanisław Saganowski & Przemysław Kazienko

Authors
  1. Stanisław Saganowski
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  2. Przemysław Kazienko
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Correspondence to Stanisław Saganowski .

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Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Democritus University of Thrace, Kimmeria, Xanthi, Greece

    Lazaros Iliadis

  3. University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Saganowski, S., Kazienko, P. (2021). A Resource-Aware Method for Parallel D2D Data Streaming. In: Nguyen, N.T., Iliadis, L., Maglogiannis, I., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2021. Lecture Notes in Computer Science(), vol 12876. Springer, Cham. https://doi.org/10.1007/978-3-030-88081-1_52

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  • DOI: https://doi.org/10.1007/978-3-030-88081-1_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88080-4

  • Online ISBN: 978-3-030-88081-1

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