K. Mikhaylov, P. Masek, T. Hanninen, M. Stusek and J. Hosek, "Improving LoRaWAN Performance by Randomizing Network Access for Data and On-Air Activation," ICC 2022 - IEEE International Conference on Communications, 2022, pp. 4432-4437, doi: 10.1109/ICC45855.2022.9838306.
Improving LoRaWAN performance by randomizing network access for data and on-air activation
|Author:||Mikhaylov, Konstantin1; Masek, Pavel2; Hänninen, Tuomo1;|
1Centre for Wireless Communications, University of Oulu, Oulu, Finland
2Department of Telecommunications, FEEC, Brno University of Technology, Brno, Czech Republic
|Online Access:||PDF Full Text (PDF, 0.5 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2022083156899
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2022-08-31
During the past years, the LoRaWAN technology took a prominent position among the wireless connectivity solutions for the Internet of Things (IoT) and has attracted substantial attention. The LoRaWAN technology has become popular for collecting the data from the sensors, which traditionally have periodic communication patterns. Meanwhile, recent studies have shown that the LoRaWAN procedures, such as the over-the-air activation, may also compromise the uniformity of data traffic distribution. Therefore, in this study, we investigate how the communication pattern of LoRaWAN devices during activation and data communication affects the overall network performance with respect to speed of activation and overall packet delivery probability. We show that the periodic communication patterns, widely employed by commercial LoRaWAN devices today, are less efficient than the patterns featuring random delays between the packets. Also, we find that introduction of a random delay between uplink data packets helps randomizing the channel access and enables network performance boost both for the application data transfer and during the activation. Finally, we show that implementation of the suggested communication patterns modification is feasible for the state-of-the-art LoRaWAN transceivers with no hardware modifications.
IEEE International Conference on Communications
|Pages:||4432 - 4437|
ICC 2022 - IEEE International Conference on Communications
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This study has been supported by the Academy of Finland projects: MRAT-SafeDrone (341111), RoboMesh (336060), FireMan (348008) and 6Genesis Flagship (318927).
|Academy of Finland Grant Number:||
341111 (Academy of Finland Funding decision)
336060 (Academy of Finland Funding decision)
348008 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
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