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Low Power Wireless Data Transfer for Internet of Things: GSM Network Measuring Results

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F20%3A00348634" target="_blank" >RIV/68407700:21240/20:00348634 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/MECO49872.2020.9134348" target="_blank" >https://doi.org/10.1109/MECO49872.2020.9134348</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/MECO49872.2020.9134348" target="_blank" >10.1109/MECO49872.2020.9134348</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Low Power Wireless Data Transfer for Internet of Things: GSM Network Measuring Results

  • Original language description

    This paper describes the properties of wireless data transfer for Internet of Things (IoT). It focuses on low power consumption of the device. The paper presents the results of measuring latency, throughput and power consumption of a GSM module connected to an Arduino during data transfer to a remote server running at a PC. The measuring methodology of obtaining these results is discussed. Power consumption measurements include sending files of various sizes from the GSM module via the GSM network to the server. Conclusions regarding battery lifespan for the GSM module are made in the paper. Throughput over the GSM network for this module is elaborated and a static part of sending time, of a file regardless its size, is identified in this paper. The throughput is measured in order to further analyze the usability of such a device in IoT. The usability of LTE in such a configuration for fast data transfer is also discussed. The latency between the GSM module and the server is approximated because it may influence power consumption.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 9th Mediterranean Conference on Embedded Computing - MECO'2020

  • ISBN

    978-1-7281-6949-1

  • ISSN

  • e-ISSN

    2637-9511

  • Number of pages

    5

  • Pages from-to

    181-185

  • Publisher name

    Institute of Electrical and Electronics Engineers, Inc.

  • Place of publication

  • Event location

    Budva

  • Event date

    Jun 8, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000612854100045