4.8 Article

R-ARM: Retransmission-Assisted Resource Management in LoRaWAN for the Internet of Things

期刊

IEEE INTERNET OF THINGS JOURNAL
卷 9, 期 10, 页码 7347-7361

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2021.3111167

关键词

Convergence; Internet of Things; Energy consumption; Signal to noise ratio; Uplink; Resource management; Packet loss; Adaptive data rate (ADR); blind ADR (BADR); convergence period; Internet of Things (IoT); LoRaWAN; mobility; packet success ratio (PSR)

资金

  1. Institute of Information and Communications Technology Planning and Evaluation (IITP) grant - Korean Government (MSIT) [2018-0-00691]
  2. National Research Foundation of Korea [4299990114316] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

LoRaWAN's adaptive data rate (ADR) plays an important role in resource management for static devices. To address the issue of frequent channel attenuation in mobile applications, blind ADR (BADR) is introduced. This study investigates the application of ADR and BADR in mobility environments and proposes a novel ADR retransmission-assisted resource management (R-ARM) system, which significantly improves the network performance of LoRaWAN.
LoRaWAN exhibits an essential feature, namely, the adaptive data rate (ADR), which has been recommended for the management of resources (e.g., the spreading factor and transmit power) of static end devices (EDs) based on channel conditions. Blind ADR (BADR) has been introduced for LoRaWAN mobile applications that experience frequent channel attenuation when the ED moves (e.g., pet-tracking). This channel condition leads to massive packet loss and retransmission, which significantly increases energy consumption. In this study, ADR and BADR are investigated in mobility environments, their limitations are highlighted, and a novel ADR retransmission-assisted resource management (R-ARM) system is proposed. The proposed R-ARM system operates concurrently on the ED and network server sides. This improves the network performance of the LoRaWAN. When compared to those of typical ADR approaches, the simulation results, in this case, show that R-ARM significantly enhances the packet success ratio and convergence period, and it lowers the energy consumption and packet loss ratio.

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