Field automatic warning network based on LoRa

Aiming at problems such as insufficient communication coverage, high power consumption and complex deployment, a low- power wide-area monitoring network architecture based on LoRa technology is proposed in this paper. The network adopts the dual-star hybrid topology, combines the dynamic spread factor allocation and time division multiplexing mechanism, and realizes the balance between low power consumption and long distance communication by optimizing the configuration of LoRa parameters (bandwidth, spread factor, coding rate).Regarding hardware design, the STM32 series microcontroller and SX1268 RF module are used to build terminal nodes, which support multi-sensor access and power partition management. At the software level, an adaptive anti-collision algorithm is proposed, which combines signal enhancement and collision decoding technology to improve network reliability.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/iscait64916.2025.11010524
Citations
2
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
1.46

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article

Field automatic warning network based on LoRa

Xingyu Yang, S Li, Tiansong Li
2 citations
IoT Networks and Protocols
1.46
article

Field automatic warning network based on LoRa

Xingyu Yang, S Li, Tiansong Li
article en
2 citations

Abstract

Aiming at problems such as insufficient communication coverage, high power consumption and complex deployment, a low- power wide-area monitoring network architecture based on LoRa technology is proposed in this paper. The network adopts the dual-star hybrid topology, combines the dynamic spread factor allocation and time division multiplexing mechanism, and realizes the balance between low power consumption and long distance communication by optimizing the configuration of LoRa parameters (bandwidth, spread factor, coding rate).Regarding hardware design, the STM32 series microcontroller and SX1268 RF module are used to build terminal nodes, which support multi-sensor access and power partition management. At the software level, an adaptive anti-collision algorithm is proposed, which combines signal enhancement and collision decoding technology to improve network reliability.

Guilin University of Electronic Technology (CN)
Guilin University of Electronic Technology
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Openalex Percentile: Top 17%
IoT Networks and Protocols
1.46
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Field automatic warning network based on LoRa — Xingyu Yang, S Li, et al. · (2025) | TGRS Research Map | TGRS