Skip to main content

Advertisement

Springer Nature Link
Log in

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

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22
Fig. 23
Fig. 24
Fig. 25
Fig. 26
Fig. 27

Similar content being viewed by others

Data Availability

All relevant data are within the paper and its Supporting information files.

References

  1. Guo, Q. (2024). Analysis of countermeasures for the application of electronic information technology in control systems. Electronics Technology, 53(02), 351–353.

    Google Scholar 

  2. Xu, B. B. (2012). Research and application of real-time data acquisition for heterogeneous weaving machines. Zhejiang University of Technology.

    Google Scholar 

  3. Wang, S., & Wu, X. (2019). Research on monitoring system of rapier loom based on TwinCATEtherCAT. Progress in Textile Science and Technology, 08, 17–19.

    Google Scholar 

  4. Wang, X. L. (2020). Research on spindle vibration monitoring and analysis system of rapier loom. Hebei University of Technology.

    Google Scholar 

  5. Tang, S. S. (2015). Information acquisition and processing system based on ZigBee and WEB. Zhejiang University of Technology.

    Google Scholar 

  6. Wu, X. Y., & Xiao, Wb. (2012). Monitoring system of rapier loom based on wireless communication technology. Progress in Textile Science and Technology, 03, 37–39.

    Google Scholar 

  7. Zhang, T. L., & Yang, H. Y. (2019). Remote greenhouse environment monitoring system based on lora. Inner Mongolia: Journal of Inner Mongolia University of Technology (Natural Science Edition), 06, 446–453.

    Google Scholar 

  8. Zhu, Z. B., & Ma, Y. C. (2020). Design of remote low-power steel bridge temperature measurement system. Electronic Measurement Technology, 23, 154–158.

    Google Scholar 

  9. Mangalvedhe, N., Ratasuk, R., & Ghosh, A. (2016). NB-Io T deployment study for low power wide area cellular IoT. IEEE, 7, 92–97.

    Google Scholar 

  10. Liao, Z. Y., & Yang, S. T. (2021). Research on the application of LoRa technology in low-power intelligent meter reading systems. Guangxi: Journal of Guangxi University for Nationalities (Natural Science Edition), 04, 87–90.

    Google Scholar 

  11. Huang, J. G., Hu, S. Y., Liu, W., Hu, Y. C., & Luo, J. (2024). Current situation and prospects of smart agriculture development. Southern Agricultural Machinery, 07, 41–44.

    Google Scholar 

  12. Tian, B., & Bao, X. Y. (2024). Design of monitoring and control system for underground pipe corridor in smart cities. Smart Cities, 02, 14–16.

    Google Scholar 

  13. Hao, Z. M., Ge, W. H., Hao, J. Y., Li, B. B., Sun, D. D., & Ran, N. (2019). Research on embedded elevator operation state monitoring system. Journal of Electronic Measurement and Instrumentation, 08, 187–193.

    Google Scholar 

  14. Sun, T. Z., & Dai, Y. W. (2018). Design of wireless field information acquisition scheme based on LoRa. Computer Measurement & Control, 08, 208–212.

    Google Scholar 

  15. Enes, S., Nevzudin, B., & Đulaga, H. (2023). Long-range remote control based on lora transceivers. BH Electrical Engineering, 2, 42–48.

    Google Scholar 

  16. Xiao, W., Rachkidy, E. N., & Guitton, A. (2024). Improving collision resolution of superposed LoRa signals using a slot-free decoding scheme. Ad Hoc Networks, 157, 103442.

    Article  Google Scholar 

  17. Arratia, B., Rosas, E., Calafate, T. C., Cano, J. C., Cecilia, M. J., & Manzoni, P. (2024). AlLoRa: Empowering environmental intelligence through an advanced LoRa-based IoT solution. Computer Communications, 218, 44–58.

    Article  Google Scholar 

  18. Hu, B. (2022). Research and Implementation of LoRa signal collision demodulation mechanism based on physical layer multidimensional features. Southeast University.

    Google Scholar 

  19. Zhao, B. Y. (2021). Design and Implementation of LoRa Anti-Collision Algorithm for Dense IoT Applications. Southeast University.

    Google Scholar 

  20. Liu, P. Z., & Ke, Y. A. (2015). Principles of CDMA communication technology and its comparison with TDMA and FDMA. Wireless Interconnection Technology, 02, 13–14.

    Google Scholar 

  21. Du, Y. X., Li, H. R., & Wang, C. H. (2021). Random access control for internet of things based on binary tree conflict decomposition. Computer Simulation, 09, 395–399.

    Google Scholar 

  22. Liu, W. J. (2018). Remote monitoring system of industrialized gas concentration based on Android and LoRa. Yangzhou University.

    Google Scholar 

  23. Wang, F. (2019). Analysis of speech coding and decoding algorithms based on ARM platform and its design and implementation in wireless transmission system. Xi’an University of Electronic Science and Technology.

    Google Scholar 

  24. Han, J. J. (2018). Research and implementation of oilfield wellhead instrumentation data transmission based on LoRa technology. Xi’an University of Petroleum.

    Google Scholar 

  25. He, X. W., & Cao, K. H. (2023). LoRa network communication protocol based on location and time planning. Peer-to-Peer Networking and Applications, 4, 1596–1608.

    Google Scholar 

  26. Ji, F. (2016). Design and realization of server side of internet of things monitoring system. Nanjing University of Posts and Telecommunications.

    Google Scholar 

  27. Zhang, L., Zhang, X. D., & Yuan, Y. Q. (2023). A time synchronization scheme for virtual-real joint simulation system of TDMA datalink system. Modern navigation(03),200-204+210.

  28. Lin, S. W. (2019). Design and implementation of wireless relay technology for internet of things applications. Beijing University of Posts and Telecommunications.

    Google Scholar 

  29. Liao, J. X. (2023). Research on LoRaWAN adaptive data rate algorithm for mobile scenarios. Northeast Agricultural University.

    Google Scholar 

  30. Xiao, W. (2019). Design and implementation of IPv6 protocol header compression mechanism applied to lora networks. Southeast University.

    Google Scholar 

  31. Ma, Y. C. (2023). Design of a highly reliable system for real-time slope monitoring data acquisition and transmission based on LoRa. Shijiazhuang Railway University.

    Google Scholar 

  32. Xie, H. D., Chen, Y. C., & Xiang, X. F. (2022). Reinforcement learning-based channel collision countermeasures. Radio Communication Technology, 04, 745–750.

    Google Scholar 

  33. Yang, M. K., Zhai, D. S., Fei, J. F., Zhang, R. N., Yang, Y. K., & Zhang, W. (2022). Performance analysis of communication systems based on time-slotted ALOHA and NOMA. Guidance and Fuzing, 03, 38–42.

    Google Scholar 

  34. Peng, Y., Tao, Z. J., Lin, Z., Ji, T. J., & Liu, X. W. (2024). Design of smart home system based on STM32 and OneNET. Internet of Things Technology, 02, 86–89.

    Google Scholar 

  35. Lv, X. W. (2023). The role of equipment comprehensive efficiency OEE strategy for enterprise management. Harbin Bearing, 03, 51–54.

    Google Scholar 

Download references

Funding

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

Author information

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yingjia Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yu Tian
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Weiling Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

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.

Ethics declarations

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.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-024-11333-7

Keywords

Search

Navigation