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International Conference on Computer Networks

CN 2019: Computer Networks pp 62–75Cite as

An Impact of Jamming Signal on the Energy Efficiency of ZigBee Network Elements

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1039))

Abstract

The paper presents evaluation of the energy efficiency of ZigBee network elements in the presence of disturbances caused by a jammer. The measurements were performed with the use of two Digi XBee-PRO S1 802.15.4 devices and Arduino boards configured for echo tests purposes. The CRJ4000 cell phone and WiFi ISM band handheld jammer was used as a jamming source. The influence of the radio power level of Xbee module during jamming conditions on the communication quality and the energy consumption was measured. Authors proposed the policy of switching the radio power level of Xbee modules in the presence of jamming signal.

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Author information

Authors and Affiliations

  1. Lublin University of Technology, 38A Nadbystrzycka Str, 20-618, Lublin, Poland

    Dariusz Czerwinski & Slawomir Przylucki

  2. Polish Air Force Academy, Dywizjonu 303 no. 35 Str, 08-521, Deblin, Poland

    Jaroslaw Nowak

Authors
  1. Dariusz Czerwinski
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  2. Jaroslaw Nowak
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  3. Slawomir Przylucki
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Corresponding author

Correspondence to Dariusz Czerwinski .

Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Piotr Gaj

  2. Silesian University of Technology, Gliwice, Poland

    Michał Sawicki

  3. Silesian University of Technology, Gliwice, Poland

    Andrzej Kwiecień

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© 2019 Springer Nature Switzerland AG

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Czerwinski, D., Nowak, J., Przylucki, S. (2019). An Impact of Jamming Signal on the Energy Efficiency of ZigBee Network Elements. In: Gaj, P., Sawicki, M., Kwiecień, A. (eds) Computer Networks. CN 2019. Communications in Computer and Information Science, vol 1039. Springer, Cham. https://doi.org/10.1007/978-3-030-21952-9_5

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  • DOI: https://doi.org/10.1007/978-3-030-21952-9_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21951-2

  • Online ISBN: 978-3-030-21952-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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