IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v71y2019i2d10.1007_s11235-019-00557-9.html
   My bibliography  Save this article

A survey on low-power wide area networks for IoT applications

Author

Listed:
  • Mncedisi Bembe

    (SCMS, University of Mpumalanga)

  • Adnan Abu-Mahfouz

    (CSIR Meraka Institute)

  • Moshe Masonta

    (CSIR Meraka Institute)

  • Tembisa Ngqondi

    (SCMS, University of Mpumalanga)

Abstract

We are on the entry of the exponential advancement of the internet-of-things (IoT) due to the quick development of internet-connected smart-objects. As the number of connected smart-objects increase, IoT will continue to advance by providing connectivity and interactions between the physical and the cyber world. This connectivity is characterized by low throughput, delay sensitivity, small and wide coverage, low power consumption, low device, etc. Which explains the emergence of low power wide area network (LPWAN). LPWAN technologies are an alternative promising connectivity solutions for Internet of Things. However, the lack of an overall LPWAN knowledge that present a comprehensive analysis of LPWAN technologies is presently constraining the achievement of the modern IoT vision. In this paper, we begin with a detailed analysis of the conventional high power long-range network technologies that considers IoT applications and requirements. We further point out the need for dedicated low power wide area technologies in IoT systems. In addition, we analyse the technical specification based on the PHY and MAC layers of the technologies that are already deployed, or likely to be deployed. The focus is to incorporate both standard and proprietary technologies in our study. Furthermore, we present the modelling techniques and performance metrics that are adopted in LPWAN networks analysis. Finally, challenges and open problems are presented. The main contribution of this study is that it provides an enhanced summary of the current state-of-the-art of LPWAN suitable to meet the requirements of IoT, while uniquely providing LPWAN’s modelling techniques, performance metrics and their associated enablers.

Suggested Citation

  • Mncedisi Bembe & Adnan Abu-Mahfouz & Moshe Masonta & Tembisa Ngqondi, 2019. "A survey on low-power wide area networks for IoT applications," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(2), pages 249-274, June.
  • Handle: RePEc:spr:telsys:v:71:y:2019:i:2:d:10.1007_s11235-019-00557-9
    DOI: 10.1007/s11235-019-00557-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-019-00557-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11235-019-00557-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bharat S. Chaudhari & Marco Zennaro & Suresh Borkar, 2020. "LPWAN Technologies: Emerging Application Characteristics, Requirements, and Design Considerations," Future Internet, MDPI, vol. 12(3), pages 1-25, March.
    2. Gackstetter, David & von Bloh, Malte & Hannus, Veronika & Meyer, Sebastian T. & Weisser, Wolfgang & Luksch, Claudia & Asseng, Senthold, 2023. "Autonomous field management – An enabler of sustainable future in agriculture," Agricultural Systems, Elsevier, vol. 206(C).
    3. Evi Steelyana W. & Nur Afiah Nunuy & Dewi Nanny & Wahyuni Ersa Tri & Avianti Ilya, 2024. "Policy Strategies for Public–Private Partnership on Broadband Infrastructure: A Systematic Literature Review," Central European Journal of Public Policy, Sciendo, vol. 18(1), pages 1-23.
    4. Sama Habibi & Vahid Solouk & Hashem Kalbkhani, 2021. "Adaptive energy-efficient small cell sleeping and zooming in heterogeneous cellular networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 77(1), pages 23-45, May.
    5. Brandon Foubert & Nathalie Mitton, 2020. "Long-Range Wireless Radio Technologies: A Survey," Future Internet, MDPI, vol. 12(1), pages 1-17, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:telsys:v:71:y:2019:i:2:d:10.1007_s11235-019-00557-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.