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Development of a Model for Determining the Coordinates of Clustered Flying Sensor Network Nodes

DOI: 10.35598/mcfpga.2023.022

Development of a Model for Determining the Coordinates of Clustered Flying Sensor Network Nodes
Artyom Malik, Ilya Shapoval, Pavlo Galkin

V International Scientific and Practical Conference Theoretical and Applied Aspects of Device Development on Microcontrollers and FPGAs (MC&FPGA-2023), Kharkiv, Ukraine, 2023, pp. 64-66.

Date of Conference: 2223 June 2023

Abstract

This research explores the fundamental capability of determining the coordinates of individual objects within a network, presenting a compelling case for the attractiveness of such systems. The potential to determine coordinates becomes a key advantage, leading to cost reduction and diminished energy consumption of individual devices, notably by eliminating the need for GPS sensors. Additionally, the deployment of these networks is simplified, envisioning scenarios such as aerial dispersion of devices from aircraft. The adaptability of these sensor networks in challenging terrains further underscores their appeal. Although coordinate determination is integral to various wireless telecommunication networks, including cellular networks, the unique characteristics of each network necessitate distinct approaches to coordinate resolution, even when based on common principles such as geometric triangulation. Therefore, the task of determining coordinates for nodes in a clustered flying sensor network remains pertinent. The study discusses the contemporary relevance and significance of this challenge, emphasizing its potential to enhance the efficiency and applicability of wireless sensor networks, particularly in scenarios where conventional methods face limitations.

Keywords: flying sensor networks, coordinate determination, clustered networks, energy-efficient devices, deployment optimization.

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References

  1. A. Dey, T. Sarkar and S. Ali, “Fruit Fly algorithm based clustering protocol in wireless sensor networks,” 2016 9th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 2016, pp. 295-298, doi: 10.1109/ICECE.2016.7853914.
  2. L. I. Voronova, V. I. Voronov and N. Mohammad, “Modeling the Clustering of Wireless Sensor Networks Using the K-means Method,” 2021 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS), Yaroslavl, Russian Federation, 2021, pp. 740-745, doi: 10.1109/ITQMIS53292.2021.9642747.
  3. 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.
  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. 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.
  6. Galkin P. Development of Testbenches Base on STM32 and CC253X Microcontrollers / P. Galkin // IV International Scientific and Practical Conference Theoretical and Applied Aspects of Device Development on Microcontrollers and FPGAs (MC&FPGA-2022). – Kharkiv, Ukraine, 2022. – pp. 32-34. doi: 10.35598/mcfpga.2022.011.
  7. 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.
  8. M. Barcelo, J. L. Vicario, G. Seco-Granados, J. M. Puig and J. M. Laborda, “Multi-channel routing algorithm for cluster-tree wireless sensor networks in aerospace applications,” 2011 4th Annual Caneus Fly by Wireless Workshop, Montreal, QC, Canada, 2011, pp. 1-4, doi: 10.1109/FBW.2011.5965566.
  9. 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.
  10. 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.
  11. R. Kirichek, I. Grishin, D. Okuneva and M. Falin, “Development of a node-positioning algorithm for wireless sensor networks in 3D space,” 2016 18th International Conference on Advanced Communication Technology (ICACT), PyeongChang, Korea (South), 2016, pp. 279-282, doi: 10.1109/ICACT.2016.7423360.
  12. Y. Diao, M. Fu, Z. Lin and H. Zhang, “A Sequential Cluster-Based Approach to Node Localizability of Sensor Networks,” in IEEE Transactions on Control of Network Systems, vol. 2, no. 4, pp. 358-369, Dec. 2015, doi: 10.1109/TCNS.2015.2426772.
  13. T. Watteyne, D. Simplot-Ryl, I. Auge-Blum and M. Dohler, “On using Virtual Coordinates for Routing in the Context of Wireless Sensor Networks,” 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications, Athens, Greece, 2007, pp. 1-5, doi: 10.1109/PIMRC.2007.4394536.
  14. Galkin P. V. “Model for Determining Coordinates of Nodes in Wireless Sensor Network.” Problems of Telecommunications, 2015, No. 1, pp. 16-41.
  15. Galkin P. V. “Model for Determining Coordinates of Nodes in Wireless Sensor Network for the Implementation of the Internet of Things Concept.” Proceedings of the 20th Anniversary International Youth Forum “Radio Electronics and Youth in the XXI Century,” Vol. 3, Kharkiv: KNURE, pp. 118-119.
  16. Y. Diao, Z. Lin, M. Fu and H. Zhang, “A new distributed localization method for sensor networks,” 2013 9th Asian Control Conference (ASCC), Istanbul, Turkey, 2013, pp. 1-6, doi: 10.1109/ASCC.2013.6606117.
  17. Haodi Ping, Yongcai Wang, Deying Li, Wenping Chen, “Understanding Node Localizability in Barycentric Linear Localization”, IEEE/ACM Transactions on Networking, vol.31, no.3, pp.1353-1368, 2023.
  18. N. Atanasov, R. Tron, V. M. Preciado and G. J. Pappas, “Joint estimation and localization in sensor networks,” 53rd IEEE Conference on Decision and Control, Los Angeles, CA, USA, 2014, pp. 6875-6882, doi: 10.1109/CDC.2014.7040469.