ESTIMATION OF SIGNAL POWER FOR WIRELESS SENSOR NETWORKS BASED ON ARTIFICIAL INTELLIGENCE ALGORITHM
DOI:
https://doi.org/10.30890/2709-2313.2025-37-01-019Keywords:
Estimating, wireless channel, transformer, wireless sensor networks, UAVs, autoregression model, statistical dependenciesAbstract
In this study, the problem of dynamic optimization of sensor networks is solved to reduce information losses and ensure the minimum possible technical indicators of information transmission channels. This is especially relevant when using UAVs and the exiMetrics
References
Mykhalevskiy, D., Vasylyshyn, V., Riabkov, V., Myronenko, R., Bryl, D. Method for improving the coverage efficiency of wireless sensor networks based on UAVs. Machinery and Energetics, 2024, 15(2), 81–94. DOI 10.31548/machinery/2.2024.81.
Опенько П., Dovzhenko N., Оріховський П. Ікаєв Д. Забезпечення надійності та безпеки у сучасних безпроводових сенсорних мережах на основі впровадження метрики RSSI. Повітряна міць України. 2024. 1(6). 131-136 DOI: 10.33099/2786-7714-2024-1-6-131-136.
Mykhalevskiy D., Vasylkivskyi N., Horodetska O. Development of a mathematical model for estimating signal strength at the input of the 802.11 standard receiver. Eastern-European Journal of Enterprise Technologies. 2017. Vol. 6, Issue 9 (90). 38–43. doi: https://doi.org/10.15587/1729-4061.2017.114191
Lin M., Chen B., Zhang W. Yang J. Characteristic analysis of wireless local area network's received signal strength indication in indoor positioning. ET Commun. 2020 Vol. 14. Iss. 3, 497-504. https://doi.org/10.1049/iet-com.2019.0681.
Mykhalevskiy, D. V., Kychak V. M. Development of information models for increasing the efficiency of evaluating wireless channel parameters of 802.11 standard. 2019. №2. 41–51. DOI: 10.2478/lpts-2019-0009.
Houssaini D., Khriji S., Besbes K., Kanoun O. Performance Analysis of Received SignalStrength and Link Quality in Wireless SensorNetworks. Performance Analysis of Received Signal Strength and Link Quality in Wireless Sensor Networks. Available. The International Multi-Conference on Systems, Signals and Devices (SSD), March 2018. Hammamet, Tunisia, 173-178. DOI: 10.1109/SSD.2018.8570634.
Yang F. L., Lim S.Y., Chan K.S. Measurement and Prediction of Signal Strength of Wireless Sensor Network. Progress In Electromagnetics Research M. 2023. Vol. 120, 145-154. DOI: 10.2528/PIERM23070301
Mykhalevskiy D. Development of a spartial method for the estimation of signal strength at the imput of the 802.11 standard receiver. Easten-European Journal of Enterprise Technologies. 2017. 4,9(88). 29-36. DOI: 10.15587/1729-4061.2017.106925.
Graves A. Generating Sequences With Recurrent Neural Networks. arXiv : 1308.0850. Doi: 10.48550/arXiv.1308.0850.
Vaswani A., Shazeer N., Parmar N. Uszkoreit J., Jones L., Gomez A. N., Kaiser Ł., Polosukhin I. Attention Is All You Need. 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA. 1-11. DOI: 10.48550/arXiv.1706.03762.
Mykhalevskiy D. Devising a technique to evaluate fluctuations in the main parameters of a wireless channel of the 802.11 standard. Easten-European Journal of Enterprise Technologies, No 6/9 (108), pp. 18–24. 2020. DOI: 10.15587/1729-4061.2020.218720.
Mykhalevskiy D. Development of the method of evaluation of effective data rate on the basis of empirical model of statistical relationship of basic parameters for the wireless channel 802.11 standard. Easten-European Journal of Enterprise Technologies. 2020. № 5/9. (107). 26–35. DOI: 10.15587/1729-4061.2017.114191.
Shazeer N., Mirhoseini A., Maziarz K., Davis A., Le Q., Hinton G., Dean J. Outrageously large neural networks: The sparsely-gated mixture-of-experts layer. arXiv:1701.06538, 2017.
Louppe G. Understanding Random Forests: From Theory to Practice. arXiv:1407.7502. https://doi.org/10.48550/arXiv.1407.7502
Dhar S., Cherkassky V. Universum learning for SVM regression. 2017 International Joint Conference on Neural Networks (IJCNN). May 2017. 1-10. DOI: 10.1109/IJCNN.2017.7966314
Beckers T. An Introduction to Gaussian Process Models. arXiv:2102.05497v1 https://doi.org/10.48550/arXiv.2102.05497.
Mykhalevskiy D.V. Investigation of sensitivity impact of receiver to effective data transmission rate / D. V. Mykhalevskiy // Proceeding of the 1th IEEE International Conference on Data Stream Mining & Processing. – 2016. Lviv, Ukraine. – P. 369-372.
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