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Research on Data Anti-collision Mechanism for Solving LoRa Channel Resource Conflict Problem in Loom Data Monitoring System

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Abstract

Aiming at the problems of complex networking, high power consumption, and short communication distance of the communication technology used in the existing multi-loom data monitoring system, this paper adopts a LoRa technology with the advantages of strong anti-jamming ability, low operating power consumption, and long communication distance, and proposes a multi-loom data monitoring system program based on LoRa technology. Due to the large number of looms in the industrial field, multiple LoRa terminal nodes need to report data to the LoRa gateway nodes at the same time, the transmission frequency is relatively high and the channel load is heavy, and there is the problem of low channel utilization under the traditional data anti-collision algorithm. Aiming at the above problems, this paper proposes a communication mechanism based on the combination of binary tree conflict decomposition algorithm and TDMA, which can ensure that the communication of static time-slot type terminal nodes is free of data collision and reduce the node’s power consumption, and at the same time, it can ensure that the terminal nodes that do not receive the receive answer frame can use the competition to report the data again within the dynamic time-slot assigned, so that the packets involved in the collision can be successfully transmission. In this paper, the remote monitoring system is designed in terms of both hardware and software systems. In order to prove the feasibility of the solution, practical tests show that the terminal nodes and gateway nodes can realize 100% no packet loss within 400 m in the loom industrial field environment, and the designed terminal nodes have low power consumption. It has some reference value in loom data monitoring.

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Funding

This work was partially supported by the Natural Science Foundation of Hebei Province under Grant No. E2022202136.

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Authors and Affiliations

  1. School of Mechanical Engineering, Hebei University of Technology, Tianjin, 300130, China

    Yanjun Xiao, Yingjia Li, Yu Tian & Weiling Liu

  2. Career Leader Intelligent Control Automation Company, Suqian, Jiangsu Province, China

    Yanjun Xiao

  3. Department of State Key Lab Reliabil and Intellectual Elect, Tianjin Key Laboratory Power Transmission and Safety Technology, Tianjin, People’s Republic of China

    Yanjun Xiao

Authors
  1. Yanjun Xiao
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  2. Yingjia Li
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  3. Yu Tian
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  4. Weiling Liu
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Contributions

All authors have made contributions to the research of concepts and designs. Material preparation, data collection and analysis were conducted by Yanjun Xiao Yingjia Li, Yu Tian and Weiling Liu. The first draft of the manuscript was written by Yingjia Li, and all the authors commented on the previous version of the manuscript. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Yanjun Xiao.

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Conflict of interest

Yanjun Xiao is the chairman and founder of Jiangsu Corey Intelligent Control Automation Technology Co. but does not receive a salary from them. This does not alter our adherence to PLOS ONE policies on sharing data and materials. There are no patents, products in development or marketed products associated with this research to declare.

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Xiao, Y., Li, Y., Tian, Y. et al. Research on Data Anti-collision Mechanism for Solving LoRa Channel Resource Conflict Problem in Loom Data Monitoring System. Wireless Pers Commun 136, 567–599 (2024). https://doi.org/10.1007/s11277-024-11333-7

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