University of Oulu

R. Serati, B. Teymuri, N. A. Anagnostopoulos and M. Rasti, "ADR-Lite: A Low-Complexity Adaptive Data Rate Scheme for the LoRa Network," 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Thessaloniki, Greece, 2022, pp. 296-301, doi: 10.1109/WiMob55322.2022.9941614.

ADR-Lite : a low-complexity adaptive data rate scheme for the LoRa network

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Author: Serati, Reza1; Teymuri, Benyamin1; Anagnostopoulos, Nikolaos Athanasios2;
Organizations: 1Department of Computer Engineering, Amirkabir University of Technology, Tehran, Iran
2Faculty of Computer Science and Mathematics, University of Passau, Passau, Germany
3Centre for Wireless Communications, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.9 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202301162908
Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2023-01-16
Description:

Abstract

The long-range and low energy consumption re-quirements in Internet of Things (IoT) applications have led to a new wireless communication technology known as Low Power Wide Area Network (LPWANs). In recent years, the Long Range (LoRa) protocol has gained a lot of attention as one of the most promising technologies in LPWAN. Choosing the right combination of transmission parameters is a major challenge in the LoRa networks. In LoRa, an Adaptive Data Rate (ADR) mechanism is executed to configure each End Device’s (ED) trans-mission parameters, resulting in improved performance metrics. In this paper, we propose a link-based ADR approach that aims to configure the transmission parameters of EDs by making a decision without taking into account the history of the last received packets, resulting in a relatively low space complexity approach. In this study, we present four different scenarios for assessing performance, including a scenario where mobile EDs are considered. Our simulation results show that in a mobile scenario with high channel noise, our proposed algorithm’s Packet Delivery Ratio (PDR) is 2.8 times outperforming the original ADR and 1.35 times that of other relevant algorithms.

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Series: IEEE International Conference on Wireless and Mobile Computing, Networking, and Communications
ISSN: 2160-4886
ISSN-E: 2160-4894
ISSN-L: 2160-4886
ISBN: 978-1-6654-6975-3
ISBN Print: 978-1-6654-6976-0
Pages: 296 - 301
DOI: 10.1109/wimob55322.2022.9941614
OADOI: https://oadoi.org/10.1109/wimob55322.2022.9941614
Host publication: 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
Conference: IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
IoT
Funding: This research was supported in part by the German Research Foundation – Deutsche Forschungsgemeinschaft (DFG), as part of Project 439892735 of the Priority Program 2253, and in part by the University of Oulu and the Academy of Finland Profi6 336449.
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