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

David Todoli-Ferrandis, Javier Silvestre-Blanes (), Víctor Sempere-Payá and Salvador Santonja-Climent
Additional contact information
David Todoli-Ferrandis: Instituto Tecnológico de Informática (ITI), 46022 Valencia, Spain
Javier Silvestre-Blanes: Instituto Tecnológico de Informática (ITI), 46022 Valencia, Spain
Víctor Sempere-Payá: Instituto Tecnológico de Informática (ITI), 46022 Valencia, Spain
Salvador Santonja-Climent: Instituto Tecnológico de Informática (ITI), 46022 Valencia, Spain

Future Internet, 2024, vol. 16, issue 4, 1-18

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.

Keywords: LoRaWAN; low-power wide-area network (LPWAN); scalability; network optimization (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1999-5903/16/4/130/pdf (application/pdf)
https://www.mdpi.com/1999-5903/16/4/130/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:16:y:2024:i:4:p:130-:d:1374354

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().