Model for Transmitting Messages in a Narrowband Internet of Things Network of a Gas Producing Enterprise

Authors

  • Konstantin A. Polshchikov JSC Phazotron Corporation – Research Institute of Radio Engineering
  • Maxim O. Terskiy Belgorod State National Research University

DOI:

https://doi.org/10.52575/2687-0932-2026-53-1-216-226

Keywords:

Narrowband Internet of Things, equipment control, gas production, telemetry, probability-time graph

Abstract

This article presents a solution to a pressing scientific and technical problem: developing a message transmission model for a gas production enterprise's wireless network based on the NB-IoT narrowband Internet of Things protocol. The model was developed using the mathematical apparatus of probabilistic-temporal graphs. The scientific novelty of the developed model lies in its adequate reflection of the dependence of the probability and average message delivery time on the transmission characteristics of preambles, control information, and transport blocks. Computational experiments demonstrated that the model can be used to substantiate the implementation characteristics of the main stages of message delivery. The application of the presented model allows for the optimization of parameter values used in the delivery of messages containing data on the controlled parameters of gas production equipment. Further research on the topic of this article should be devoted to developing the proposed model in terms of its ability to estimate the probabilities of successful attempts to complete various stages of message delivery in a narrowband internet of things network operating over cellular communications. This will make it possible to improve algorithms for managing the process of transmitting telemetry data on the state of individual sections of gas production equipment in pre-emergency situations.

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Author Biographies

Konstantin A. Polshchikov, JSC Phazotron Corporation – Research Institute of Radio Engineering

Doctor of Technical Sciences, Professor, Senior Researcher, Moscow, Russia
E-mail: polshchikov@bsuedu.ru

Maxim O. Terskiy, Belgorod State National Research University

Postgraduate student, Belgorod, Russia
E-mail: maxbox4job@mail.ru

References

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Taleb H., Nasser A., Andrieux G., Charara N., Cruz E.M. 2022. Energy Consumption Improvement of a Healthcare Monitoring System: Application to LoRaWAN. IEEE Sensors Journal, 22(7): 7288–7299.

Ugwuanyi S., Hansawangkit J., Irvine J. 2020. NB-IoT Testbed for Industrial Internet of Things. 2020 International Symposium on Networks, Computers and Communications (ISNCC), Montreal: 1–6.

Wang Y., Cao Q., Devaraj M. 2023. Using IoT to promote the construction of natural gas industry ecosystem. Proceedings SPIE 12599, Second International Conference on Digital Society and Intelligent Systems. Chendgu: 125992K.

Yaser M.Ja., Abdullateef D., Polshchykov K.A., Balakshin M.S. 2025. Estimating the Message Delivery Probability Without Duplication in an Industrial Internet of Things Network System. Journal of Advances in Information Technology, 16(6):830–837.

Yaser M.Ja., Polshchykov K.A., Polshchikov I.K. 2023. Algorithm for ensuring the minimum power consumption of the end node in the LoRaWAN network. Periodicals of Engineering and Natural Sciences, 11(4): 168–174.

References

Golovnin I.V., Gavrilov A.V. 2021. Primenenie avtonomnyh datchikov pri rabote v standarte NB-IoT na primere neftedobyvayushchego predpriyatiya [The use of autonomous sensors in the NB-IoT standard: an example of an oil production company]. Innovacionnye tekhnologii: teoriya, instrumenty, praktika, 1: 142–148.

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Agrawal N.K., Kumar S., Bisht G.S., Srivastav A., Bansla V., Jain A. 2024. Development of a Novel Quality of Service Aware Video Streaming on Demand System for the Internet of Thing Enabled MANET. 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE). Gautam Buddha Nagar: 80–85.

Almufareh M.F., Humayun M., Ahmad Z., Khan A. 2024. An Intelligent LoRaWAN-Based IoT Device for Monitoring and Control Solutions in Smart Farming Through Anomaly Detection Integrated with Unsupervised Machine Learning. IEEE Access, 12: 119072–119086.

Al-Shamkhee A.A.O., Almawlawe M.D.H., Polshchykov K.A., Likhosherstov R.V. 2025. Intelligent Control for Video Broadcasting in Flying Ad Hoc Networks: A Simulation Study. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics, 37: 141–149.

Alghazali S.M.M., Aljeazna W.K.M., Rasol M.N., Polshchykov K.A., Likhosherstov R.V. 2025. An algorithm for controlling the transmission of video streams in a flying ad hoc network. IAES International Journal of Artificial Intelligence, 14(5): 4290.

Arumun J., Akowua K. 2025. Wireless Sensor Technologies for Industrial Applications. Scholars Bulletin, 11(6): 105–110.

Coboi A., Nguyen M.T., Pham V.N., Vu T.C., Nguyen M.D., Nguyen D.T. 2023. Zigbee Based Mobile Sensing for Wireless Sensor Networks. Computer Networks and Communications, 1(2): 325–342.

Du R. 2025. An Overview on IEEE 802.11bf: WLAN Sensing. IEEE Communications Surveys & Tutorials, 27(1): 184–217.

Guan M., Qi L, Jin X., Guan S., Xia C., Xu C. 2023. Low-Power Heterogeneous Networking Method Based on NB-IoT and WSN. 2023 6th International Conference on Communication Engineering and Technology (ICCET). Xi'an: 26–29.

Hu Z., Xue G., Chen Y., Li M., Wang M., Lv F. 2022. City-Wide NB-IoT Network Monitoring and Diagnosing. Wireless Communications and Mobile Computing, 2022: 3153274.

Iiyambo L., Hancke G., Abu-Mahfouz A.M. 2024. A Survey on NB-IoT Random Access: Approaches for Uplink Radio Access Network Congestion Management. IEEE Access, 12: 95487–95506.

Jha H., Kaur S. 2023. A Survey on ZigBee Technology. 2023. 14th International Conference on Computing Communication and Networking Technologies (ICCCNT). Delhi: 1–5.

Lo Y.W., Tsoi M.H., Chow C.-F., Mung S.W.Y. 2025. An NB-IoT Monitoring System for Digital Mobile Radio with Industrial IoT Performance and Reliability Evaluation. IEEE Sensors Journal, 25(3): 5337–5348.

Manzoor B., Homssi B.A., Al-Hourani A. 2022. IoT Coverage Enhancement Using Repetition in Energy Constrained Devices: An Analytic Approach. IEEE Transactions on Green Communications and Networking, 6(2): 1122–1131.

Ni N., Yang F., Wang C. 2021. Research on Smart gas safety supervision system based on IOT technology. IOP Conference Series: Earth and Environmental Science, 651(3): 032013.

Porchelvi N., Titus S. 2024. Compact novel circular shaped fractal quad-port MIMO antenna loaded with DGS and stub for 6G, WiMax and weather monitoring. Optical and Quantum Electronics, 56: 1048.

Qasim N.H., Salman A.J., Salman H.M., Abdel-Rahman A.A., Kondakova A. 2024. Evaluating NB-IoT within LTE Networks for Enhanced IoT Connectivity. 35th Conference of Open Innovations Association (FRUCT). Tampere: 552–559.

Quamar M.M., Khan K.A., Khalid M. 2023. Narrowband-IoT Based Integrated Framework for Monitoring Pipeline Condition in Oil and Gas Industry. 2023 International Conference on Control, Automation and Diagnosis (ICCAD). Rome: 1–6.

Sathya V., Zhang L., Yavuz M. 2022. A Comparative Measurement Study of Commercial WLAN and 5G LAN Systems. IEEE 96th Vehicular Technology Conference (VTC2022-Fall). London: 1–7.

Taleb H., Nasser A., Andrieux G., Charara N., Cruz E.M. 2022. Energy Consumption Improvement of a Healthcare Monitoring System: Application to LoRaWAN. IEEE Sensors Journal, 22(7): 7288–7299.

Ugwuanyi S., Hansawangkit J., Irvine J. 2020. NB-IoT Testbed for Industrial Internet of Things. 2020 International Symposium on Networks, Computers and Communications (ISNCC), Montreal: 1–6.

Wang Y., Cao Q., Devaraj M. 2023. Using IoT to promote the construction of natural gas industry ecosystem. Proceedings SPIE 12599, Second International Conference on Digital Society and Intelligent Systems. Chendgu: 125992K.

Yaser M.Ja., Abdullateef D., Polshchykov K.A., Balakshin M.S. 2025. Estimating the Message Delivery Probability Without Duplication in an Industrial Internet of Things Network System. Journal of Advances in Information Technology, 16(6):830–837.

Yaser M.Ja., Polshchykov K.A., Polshchikov I.K. 2023. Algorithm for ensuring the minimum power consumption of the end node in the LoRaWAN network. Periodicals of Engineering and Natural Sciences, 11(4): 168–174.


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Published

2026-03-30

How to Cite

Polshchikov, K. A., & Terskiy, M. O. (2026). Model for Transmitting Messages in a Narrowband Internet of Things Network of a Gas Producing Enterprise. Economics. Information Technologies, 53(1), 216-226. https://doi.org/10.52575/2687-0932-2026-53-1-216-226

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Section

INFOCOMMUNICATION TECHNOLOGIES

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