IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v16y2024i4p130-d1374354.html
   My bibliography  Save this article

Polling Mechanisms for Industrial IoT Applications in Long-Range Wide-Area Networks

Author

Listed:
  • David Todoli-Ferrandis

    (Instituto Tecnológico de Informática (ITI), 46022 Valencia, Spain)

  • Javier Silvestre-Blanes

    (Instituto Tecnológico de Informática (ITI), 46022 Valencia, Spain
    Departamento de Informática de Sistemas y Computadores (DISCA), Universitat Politècnica de València (UPV) (ITI), 46022 Valencia, Spain)

  • Víctor Sempere-Payá

    (Instituto Tecnológico de Informática (ITI), 46022 Valencia, Spain
    Departamento de Comunicaciones (DCOM), Universitat Politècnica de València (UPV) (ITI), 46022 Valencia, Spain)

  • Salvador Santonja-Climent

    (Instituto Tecnológico de Informática (ITI), 46022 Valencia, Spain)

Abstract

LoRaWAN is a low-power wide-area network (LPWAN) technology that is well suited for industrial IoT (IIoT) applications. One of the challenges of using LoRaWAN for IIoT is the need to collect data from a large number of devices. Polling is a common way to collect data from devices, but it can be inefficient for LoRaWANs, which are designed for low data rates and long battery life. LoRaWAN devices operating in two specific modes can receive messages from a gateway even when they are not sending data themselves. This allows the gateway to send commands to devices at any time, without having to wait for them to check for messages. This paper proposes various polling mechanisms for industrial IoT applications in LoRaWANs and presents specific considerations for designing efficient polling mechanisms in the context of industrial IoT applications leveraging LoRaWAN technology.

Suggested Citation

  • David Todoli-Ferrandis & Javier Silvestre-Blanes & Víctor Sempere-Payá & Salvador Santonja-Climent, 2024. "Polling Mechanisms for Industrial IoT Applications in Long-Range Wide-Area Networks," Future Internet, MDPI, vol. 16(4), pages 1-18, April.
  • Handle: RePEc:gam:jftint:v:16:y:2024:i:4:p:130-:d:1374354
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/16/4/130/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/16/4/130/
    Download Restriction: no
    ---><---

    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:gam:jftint:v:16:y:2024:i:4:p:130-:d:1374354. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.