LoRaWAN for smart campus : deployment and long-term operation analysis
|Author:||Yasmin, Rumana1; Mikhaylov, Konstantin1; Pouttu, Ari1|
1Centre for Wireless Communications, University of Oulu, P.O. Box 4500, 90014 Oulu, Finland
|Online Access:||PDF Full Text (PDF, 50.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202101212285
Multidisciplinary Digital Publishing Institute,
|Publish Date:|| 2021-01-21
The recent years have gradually increased the value of wireless connectivity, making it the de facto commodity for both human users and the machines. In this paper, we summarize our experiences of deploying and managing for over two years the extensive indoor sensor network composed of more than three hundred devices connected over LoRaWAN low power wide area network (LPWAN) technology. We start by detailing the background and methodology of our deployment and then present the results of analyzing the network’s operation over a period of two years, focusing specifically on identifying the reasons after the packet losses. Our results reveal that despite the common assumptions, in a real-life network, the packets are lost not only during the on-air transmission but also within the backbone. Among the other interesting findings are the observed nonuniform distribution of the packet transmissions by the nodes in the networks, the seasonal effects on the packet delivery, and the observed effects of the interferences on network performance. The empirical results presented in the paper provide valuable insight into the performance of a real-life extensive LoRaWAN network deployed in an indoor environment and thus may be of interest both to the practitioners and academics.
|Pages:||1 - 21|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This research activity has been partially funded by Business Finland through VIRPA C and VIRPA D project. The acquisition of the hardware for this study has also been partially funded by the ERDF project A71720, “Big Data for 5G,” governed by the HILLA program (www.hilla.center). This research has been financially supported by the Academy of Finland 6Genesis Flagship (grant 318927).
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).