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QoS Based Method for Energy Optimization in ZigBee Wireless Sensor Networks

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Distributed Computer and Communication Networks (DCCN 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1141))

Abstract

ZigBee based Wireless Sensor Networks (WSNs) are a reliable and adaptive solution for environment level monitoring. In this paper, we use QoS technique for energy optimization of the existing ZigBee communication protocol. The proposed new method and algorithm uses a combination of the embedded in the ZigBee wireless nodes Link Quality Indicator (LQI) and Received Signal Strength Indicator (RSSI) as critical parameters. The proposed algorithm is specifically tailored to be a stateless, localized algorithm with minimal control overhead. A real wireless node transmission experiments and analysis are provided to validate our claims.

This paper is supported by the National Scientific Program “Information and Communication Technologies for a Single Digital Market in Science, Education and Security (ICTinSES)”, financed by the Ministry of Education and Science.

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Authors and Affiliations

  1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    A. Alexandrov, V. Monov, R. Andreev & J. Doshev

Authors
  1. A. Alexandrov
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  2. V. Monov
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  3. R. Andreev
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  4. J. Doshev
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Corresponding author

Correspondence to A. Alexandrov .

Editor information

Editors and Affiliations

  1. V. A. Trapeznikov Institute of Control Sciences, Moscow, Russia

    Vladimir M. Vishnevskiy

  2. Peoples' Friendship University of Russia, Moscow, Russia

    Konstantin E. Samouylov

  3. V. A. Trapeznikov Institute of Control Sciences, Moscow, Russia

    Dmitry V. Kozyrev

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Alexandrov, A., Monov, V., Andreev, R., Doshev, J. (2019). QoS Based Method for Energy Optimization in ZigBee Wireless Sensor Networks. In: Vishnevskiy, V., Samouylov, K., Kozyrev, D. (eds) Distributed Computer and Communication Networks. DCCN 2019. Communications in Computer and Information Science, vol 1141. Springer, Cham. https://doi.org/10.1007/978-3-030-36625-4_4

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  • DOI: https://doi.org/10.1007/978-3-030-36625-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-36624-7

  • Online ISBN: 978-3-030-36625-4

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