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Reducing Energy Consumption in NB-IoT by Compressing Data and Aggregating Transmission

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Applications in Electronics Pervading Industry, Environment and Society (ApplePies 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1110))

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Abstract

The rapid expansion of Internet of Things (IoT) applications necessitates the utilization of efficient Low Power Wide Area Network (LPWAN) technologies. Among these technologies, Narrowband IoT (NB-IoT) has emerged as a highly promising solution due to its energy efficiency, long-range communications, and anticipated scalability. In this study, we conducted simulations to examine the impact of various factors on energy usage in NB-IoT devices. Taking into consideration the significance of energy efficiency in IoT devices, particularly in hard-to-reach locations, we study the effects of data compression on energy consumption. The obtained results revealed that implementing data compression techniques can significantly reduce energy consumption, specifically in areas with limited transmission coverage. Additionally, we study the benefits of expanding data transmission intervals to conserve energy. The findings of this paper emphasize the importance of adopting energy-efficient practices in the development of IoT technology.

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Notes

  1. 1.

    https://devzone.nordicsemi.com/power/w/opp/3/.

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Author information

Authors and Affiliations

  1. ENSTA Bretagne, LabSTICC UMR CNRS 8265, 29806, Brest Cedex 9, France

    Mohamad Kheir El Dine & Ali Mansour

  2. CCE Department, American University of Science and Technology, Beirut, Lebanon

    Hussein Al Haj Hassan

  3. Computer Science Departement, American University of Culture and Education, ICCS-Lab, Beirut, Lebanon

    Abbass Nasser

  4. College of Engineering and Technology, American University of the Middle East, Egaila, 54200, Kuwait

    Chamseddine Zaki

  5. Department of Electronics and Communication Engineering, Arab Academy for Science, Technology and Maritime Transport (AASTMT), Cairo, Egypt

    Azza Moawad

Authors
  1. Mohamad Kheir El Dine
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  2. Hussein Al Haj Hassan
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  3. Abbass Nasser
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  4. Chamseddine Zaki
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  5. Azza Moawad
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  6. Ali Mansour
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Corresponding author

Correspondence to Mohamad Kheir El Dine .

Editor information

Editors and Affiliations

  1. Department of Electrical, Electronic, Telecommunication Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, Italy

    Francesco Bellotti

  2. Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Greece

    Miltos D. Grammatikakis

  3. Lab-STICC, CNRS UMR 6285, École nationale supérieure de techniques avancées Bretagne, Brest, France

    Ali Mansour

  4. Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy

    Massimo Ruo Roch

  5. Department of Computer Science, HTWG Konstanz—University of Applied Sciences, Konstanz, Germany

    Ralf Seepold

  6. Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Catalonia, Spain

    Agusti Solanas

  7. Department of Electrical, Electronic, Telecommunication Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, Italy

    Riccardo Berta

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Kheir El Dine, M., Al Haj Hassan, H., Nasser, A., Zaki, C., Moawad, A., Mansour, A. (2024). Reducing Energy Consumption in NB-IoT by Compressing Data and Aggregating Transmission. In: Bellotti, F., et al. Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2023. Lecture Notes in Electrical Engineering, vol 1110. Springer, Cham. https://doi.org/10.1007/978-3-031-48121-5_26

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  • DOI: https://doi.org/10.1007/978-3-031-48121-5_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48120-8

  • Online ISBN: 978-3-031-48121-5

  • eBook Packages: EngineeringEngineering (R0)

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