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Prediction of energy consumption for LoRa based wireless sensors network

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Abstract

This paper shows a method for predicting the lifetime of a wireless sensor network based on the LoRa Ra-01 wireless modules. To develop a prediction model of the energy consumption, wireless sensor modules were assembled and it was obtained experimental data using LabView development environment. There were performed experiments to get battery discharge curve. Experimental data of power consumption depending on the packet length were obtained in transmission mode. Using experimental data, we obtained dependencies of system lifetime on sleep mode duration and packet length. The paper also considered a probabilistic approach to predict the system lifetime depending on the probability of data transmission during the day. The lifetime prediction model is based on Markov’s chains. The results obtained in this work can be used to predict lifetime of sensor networks more accurately.

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Acknowledgements

This work has been supported financially by the research project AP05132464 of Ministry of education and science of the Republic of Kazakhstan and performed at Research Institute of Mathematics and Mechanics in al-Farabi Kazakh National University which is gratefully acknowledged by the authors.

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Authors and Affiliations

  1. Faculty of Physics and Technology, Al-Farabi Kazakh National University, 71 al-Farabi Ave, Almaty, Kazakhstan

    Madiyar Nurgaliyev, Ahmet Saymbetov, Nurzhigit Kuttybay & Didar Tukymbekov

  2. Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland

    Yevhen Yashchyshyn

Authors
  1. Madiyar Nurgaliyev
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  2. Ahmet Saymbetov
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  3. Yevhen Yashchyshyn
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  4. Nurzhigit Kuttybay
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  5. Didar Tukymbekov
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Correspondence to Ahmet Saymbetov.

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Nurgaliyev, M., Saymbetov, A., Yashchyshyn, Y. et al. Prediction of energy consumption for LoRa based wireless sensors network. Wireless Netw 26, 3507–3520 (2020). https://doi.org/10.1007/s11276-020-02276-5

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