ХНУРЕ Харківський національний університет радіоелектроніки

Конференція MC&FPGA

Мова:

Development of a Clustered Flying Sensor Network Collection Model

DOI: 10.35598/mcfpga.2023.021

Development of a Clustered Flying Sensor Network Collection Model
Lifanov Yevgen, Shapoval Ilya, Galkin Pavlo

V International Scientific and Practical Conference Theoretical and Applied Aspects of Device Development on Microcontrollers and FPGAs (MC&FPGA-2023), Kharkiv, Ukraine, 2023, pp. 60-63.

Date of Conference: 22–23 June 2023

Abstract

With the increasing interest in unmanned aerial vehicles and wireless sensor networks, there is a growing need to enhance methods for information gathering in flying sensor networks. This article focuses on the development of a collection model for a flying sensor network, with an emphasis on the impact of clustering on its functionality. Tasks encompass the exploration of existing collection models in wireless and flying sensor networks, an analysis of the clustering influence on flying sensors, the development and adequacy verification of a new collection model, and simulation modeling for result validation. This research aims to open new avenues for improving unmanned and wireless technology systems, ensuring reliable and efficient data collection in diverse conditions.

Keywords: flying sensor networks, clustering impact, collection model development, adequacy verification, simulation modeling.

Full Text:   PDF

References

  1. Romaniuk, Valery, et al. “Development of Methods of Positioning, Localization and Data Collection from Nodes of a Free Mobile Sensor Network using Intelligent Adaptive Telecommunication Aeroplatforms.” Information and Telecommunication Sciences 2 (2021): 40-49.
  2. Lysenko O. Optimal control of telecommunication airoplatform in the area of emergency / O. Lysenko, S. Valuiskyi, P. Kirchu, A. Romaniuk //Telecommunication Sciences. – 2013. – vol. 4. – № 1. –pp. 14 – 20.
  3. Y. Zhang, Z. Mou, F. Gao, L. Xing, J. Jiang and Z. Han, “Hierarchical Deep Reinforcement Learning for Backscattering Data Collection With Multiple UAVs,” in IEEE Internet of Things Journal, vol. 8, no. 5, pp. 3786-3800, 1 March1, 2021, doi: 10.1109/JIOT.2020.3024666.
  4. P. Galkin, “Model of Reducing the Power Consumption for Node of Wireless Sensor Network in Embedded Control Systems,” 2018 International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T), Kharkiv, Ukraine, 2018, pp. 252-256. doi: 10.1109/INFOCOMMST.2018.8631891.
  5. V. Tkachov, V. Tokariev, Y. Dukh and V. Volotka, “Method of Data Collection in Wireless Sensor Networks Using Flying Ad Hoc Network,” 2018 International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T), Kharkiv, Ukraine, 2018, pp. 197-201, doi: 10.1109/INFOCOMMST.2018.8632048.
  6. P. Galkin, O. Khmelik  “Development of a Telegram Bot for Receiving Data from OPC Servers “III International Scientific and Practical Conference Theoretical and Applied Aspects of Device Development on Microcontrollers and FPGAs, Kharkiv, Ukraine, 2021 pp. 37-38 doi: 10.35598/mcfpga.2021.012.
  7. P. Galkin, “Analysis models of collection data in wireless sensor networks,” 2016 Third International Scientific-Practical Conference Problems of Infocommunications Science and Technology (PIC S&T), Kharkiv, Ukraine, 2016, pp. 233-236, doi: 10.1109/INFOCOMMST.2016.7905392.
  8. P. Galkin and I. Klyuchnyk, “An Optimal Concepts for Aggregation of Data in Wireless Sensor Network,” 2019 IEEE 2nd Ukraine Conference on Electrical and Computer Engineering (UKRCON), Lviv, Ukraine, 2019, pp. 1162-1166, doi: 10.1109/UKRCON.2019.8879885.
  9. Y. Zhu and S. Wang, “Flying Path Optimization of Rechargeable UAV for Data Collection in Wireless Sensor Networks,” in IEEE Sensors Letters, vol. 7, no. 2, pp. 1-4, Feb. 2023, Art no. 7500104, doi: 10.1109/LSENS.2023.3237634.
  10. V. A. Mochalov and A. P. Pschenichnikov, “Functional scheme of the flying sensor networks architecture design,” 2016 18th International Conference on Advanced Communication Technology (ICACT), PyeongChang, Korea (South), 2016, pp. 659-663, doi: 10.1109/ICACT.2016.7423591.
  11. R. Kirichek, A. Vladyko, A. Paramonov and A. Koucheryavy, “Software-defined architecture for flying ubiquitous sensor networking,” 2017 19th International Conference on Advanced Communication Technology (ICACT), PyeongChang, Korea (South), 2017, pp. 158-162, doi: 10.23919/ICACT.2017.7890076.
  12. P. DeLima, G. York and D. Pack, “Localization of ground targets using a flying sensor network,” IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC’06), Taichung, Taiwan, 2006, pp. 6 pp.-, doi: 10.1109/SUTC.2006.1636176.
  13. M. A. Khan, A. Safi, I. M. Qureshi and I. U. Khan, “Flying ad-hoc networks (FANETs): A review of communication architectures, and routing protocols,” 2017 First International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT), Karachi, Pakistan, 2017, pp. 1-9, doi: 10.1109/INTELLECT.2017.8277614.
  14. Y. Wang, Z. Hu, X. Wen, Z. Lu and J. Miao, “Minimizing Data Collection Time With Collaborative UAVs in Wireless Sensor Networks,” in IEEE Access, vol. 8, pp. 98659-98669, 2020, doi: 10.1109/ACCESS.2020.2996665.
  15. P. Galkin, “Design Testbench for Wireless Sensor Network Based on CC2530 Transceiver,” 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T), Kyiv, Ukraine, 2019, pp. 1-6, doi: 10.1109/PICST47496.2019.9061352.
  16. P.V. Galkin. “Analiz energopotrebleniya uzlov besprovodnih sensornih setei [Analysis of power consumption of nodes of wireless sensor networks],“ ScienceRise, no.2 pp 55-61, 2014.
  17. F. Zhang, H. Liu, Z. Ma, Y. Yang and X. Wan, “Study of UAV Application in Wireless Sensor Networks,” 2020 3rd International Conference on Mechanical, Electronics, Computer, and Industrial Technology (MECnIT), Medan, Indonesia, 2020, pp. 343-348, doi: 10.1109/MECnIT48290.2020.9166681.