The Method of Restoring Parameters of Mobile Agents in a Unified Dynamic Environment Considering Similarity Coefficients

Full Text (PDF, 494KB), PP.25-35

Views: 0 Downloads: 0

Author(s)

Valerii Zavgorodnii 1,* Nadiya Braykovska 1 Oleksandr Yarovyi 2 Anna Zavgorodnya 1 Viacheslav Liskin 3 Oleg Mukhin 3

1. State University of Infrastructure and Technologies, Kyiv, Ukraine

2. Institute of Special Communication and Information Protection of the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine

3. National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine

* Corresponding author.

DOI: https://doi.org/10.5815/ijcnis.2023.04.03

Received: 6 Mar. 2023 / Revised: 27 May 2023 / Accepted: 20 Jun. 2023 / Published: 8 Aug. 2023

Index Terms

A Unified Dynamic Environment, Mobile Agent, Interaction Trajectory, Similarity Coefficients, Interaction Matrix, Parameter Recovery, Placement Methods

Abstract

We described the placing of the mobile agents in a dynamic environment. It formed a dynamic environment for a complex of dynamically changing mobile agents. We described a two-level system of connections at the global and local levels of interaction. Such a scheme allows you to support the survivability of a dynamic environment. We presented the model of placement of mobile agents in a dynamic environment, which forms the basis of the trajectory of interaction between mobile agents, enabling us to combine the dynamic environment into a unified dynamic environment. The proposed method for mobile agents parameters restoring in a unified dynamic environment, taking into account the similarity coefficients, allows restore 80% parameters of an inaccessible mobile agent. This indicates the high efficiency of the objects description in the form of a unified dynamic environment in order to maintain its integrity.

Cite This Paper

Valerii Zavgorodnii, Nadiya Braykovsʹka, Oleksandr Yarovyi, Anna Zavgorodnya, Viacheslav Liskin, Oleg Mukhin, "The Method of Restoring Parameters of Mobile Agents in a Unified Dynamic Environment Considering Similarity Coefficients", International Journal of Computer Network and Information Security(IJCNIS), Vol.15, No.4, pp.25-35, 2023. DOI:10.5815/ijcnis.2023.04.03

Reference

[1]Liu, J., Wu, J. (2001) Multiagent Robotic Systems (1st ed.). CRC Press. DOI: https://doi.org/10.1201/9781315220406
[2]Murray, R. M. (2007) Recent Research in Cooperative Control of Multivehicle Systems. ASME. J. Dyn. Sys., Meas., Control. Vol. 129(5). P.571-583. DOI: https://doi.org/10.1115/1.2766721
[3]Husynin, A.V., Yarovy, O.V., Antonova-Rafi, Yu.V. (2017) Optimization of airship landing control based on the multi-stage method of differential transformations. Control, navigation and communication systems. Vol. 5 (45). P. 12-17. Access mode: http://journals.nupp.edu.ua/sunz/article/view/424
[4]Cortes, J., Martinez, S., Karatas, T., Bullo, F. (2002) Coverage control for mobile sensing networks. IEEE Conference on Robotics and Automation. Arlington, VA, P. 1327-1332. DOI: https://doi.org/10.48550/arXiv.math/0212212
[5]Howard, A., Matarić, M.J., Sukhatme, G.S. (2002) Mobile Sensor Network Deployment using Potential Fields: A Distributed, Scalable Solution to the Area Coverage Problem. International Symposium on Distributed Autonomous Robotic Systems. Fukuoka, Japan, June 25-27. DOI: https://doi.org/10.1007/978-4-431-65941-9_30
[6]Gusynin, A., Yarovoy, O., Antonova-Rafi, Ju., Khudetskyy, I. (2017) Synthesis of optimal multi-step control algorithms by UAVs based on differential-and-game approach. IEEE 4th International Conference "Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD)". P. 100-103. DOI: https://doi.org/10.1109/APUAVD.2017.8308785
[7]Paley, D., Zhang, F., Leonard, N. (2006) Cooperative Control for Ocean Sampling: The Glider Coordinated Control System. IEEE Transactions On Control Systems Technology. Vol. 16(4). P. 735-744. DOI: https://doi.org/10.1109/TCST.2007.912238
[8]Golembo, V.A., Bochkaryev, O.Yu., Tsyzh, A.M. (2006) The task of forming individual zones of responsibility by a team of mobile agents. Visn. National Lviv Polytechnic University. Vol. 573. P. 62-67.
[9]Zhengbing, H., Mukhin, V., Kornaga, Y., Volokyta, A., Herasymenko, O. (2017) The scheduler for distributed computer systems based on the network centric approach to resources control. 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). Bucharest. Romania. P.518–523. DOI: https://doi.org/10.1109/IDAACS.2017.8095135.
[10]Bochkarev, O. Yu., Golembo, V. A., Tsyzh, A. M. (2008) Collective behavior of mobile agents in problems of uniform distribution of a limited territory. Visnyk Nats. Lviv Polytechnic University "Computer Systems and Networks". Vol. 630. P. 31-35. Access mode: https://vlp.com.ua/files/06_23.pdf
[11]Golembo, V. A., Bochkaryev, O. Yu., Popadyuk, H. R. (2007) The problem of algorithmic provision of collective behavior of autonomous mobile agents in tasks of spatial self-organization. Visnyk Nats. Lviv Polytechnic University "Computer Systems and Networks". Vol. 603. P. 26-30. Access mode: https://vlp.com.ua/files/06_22.pdf
[12]Yarovy, O., Zavhorodniy, V. (2022) Implementation of monitoring of ground objects and selection of the optimal model of a mobile agent. Abstracts of reports of the 1st international scientific and practical conference "Cybersecurity of state institutions and overcoming crisis situations". ISZZI KPI named after Igor Sikorskyi. P. 182-183.
[13]Korolyuk, N. A., Eremenko, S. N. (2015) Intelligent decision support system for controlling unmanned aerial vehicles at a ground control station. Information processing systems. No 8 (133). P. 31-36.
[14]Mukhin, V., Zavgorodnii, V., Kornaga, Y., Baranovska, L. (2021). Algorithm for the Information Space Forming and the Evaluation of Input Objects Search Efficiency. CEUR Workshop Proceedingsthis link is disabled. 3241. P. 193–204. https://ceur-ws.org/Vol-3241/paper18.pdf
[15]Dodonov, A., Mukhin, V., Zavgorodnii, V., Kornaga, Ya., Zavgorodnya A. (2021). Method of searching for information objects in unified information space. System research and information technologies. N1. P. 34–46. DOI: https://doi.org/10.20535/SRIT.2308-8893.2021.1.03
[16]Mukhin, V., Kornaga, Y., Bazaliy, M., Zavgorodnii, V., Krysak, I., Mukhin, O. (2020) Obfuscation Code Technics Based on Neural Networks Mechanism. IEEE 2nd International Conference on System Analysis & Intelligent Computing (SAIC). Kyiv. Ukraine. P. 1–6. DOI: https://doi.org/10.1109/SAIC51296.2020.9239247.
[17]Golembo, V.A., Bochkaryev, O.Yu., Kuspis, O.P. (2007) The problem of organizing the movement of a mobile measuring agent as part of a distributed system of autonomous research. Measuring technology and metrology. Vol. 67. P.78-82. Access mode: https://oldena.lpnu.ua/bitstream/ntb/6512/1/15.pdf
[18]Yarovyi, O.V. (2018) Unmanned aerial vehicle control systems for monitoring ground objects. Control, navigation and communication systems. Vol. 3 (49). P. 33-38. Access mode: http://nbuv.gov.ua/UJRN/suntz_2018_3_8
[19]Mukhin, V., Kornaga. Y., Tkach, M., Herasymenko, O., Bazaka, Y., Mukhin, O. (2020) Subtask Prioritization on Workflow Execution in Distributed Wireless Computer System With Network-Centric Approach to Resource Control. IEEE 5th International Symposium on Smart and Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS). Dortmund. Germany. P. 1–5. DOI: https://doi.org/10.1109/IDAACS-SWS50031.2020.9297087.
[20]Jilkov, V. P., Rong Li, X., DelBalzo, D. (2007) Best combination of multiple objectives for UAV search & track path optimization. 10th International Conference on Information Fusion Date of Conference. Quebec, QC, Canada, P. 1-8. DOI: https://doi.org/10.1109/ICIF.2007.4408202
[21]Mukhin, V., Zavgorodnii, V., Kornaga, Y., Zavgorodnya, A., Krylov, I., Rybalochka, A., Kornaga, V., Belous, R. (2021). Devising a method to identify an incoming object based on the combination of unified information spaces. Eastern-European Journal of Enterprise Technologies. 3(2 (111). P. 35–44. DOI: https://doi.org/10.15587/1729-4061.2021.229568
[22]Milov, O., Yevseiev, S., Ivanchenko, Y., Milevskyi, S., Nesterov, O., Puchkov, O., Salii, A., Tymochko, O., Tiurin, V., Yarovyi, A. (2019) Development of the model of the antagonistic agents behavior under a cyber conflict. Eastern-European Journal of Enterprise Technologies. ISSN 1729-3774, Vol. 4, number 9 (100). P. 6-19. DOI: https://doi.org/10.15587/1729-4061.2019.175978
[23]Yakushenko, K. V. (2014). Unified information space: theoretical approaches to the content of the concept. Belarus and world economic processes: Sat. scientific Art. Issue. 11. Minsk. P. 13-20.
[24]Vincent, A. V. (2011). Development of a model of a single information space to assess the reliability of its operation. Proceedings of the Kola Scientific Center of the Russian Academy of Sciences. (7). P. 65-70.
[25]Yalova, K., Zavgorodnii, V., Romanyukha, M., Sorokina, L. (2016). Challenges and prospects in development of e-learning system for IT students. International Journal of Continuing Engineering Education and Life Long Learning. 26(1). P. 25–43. https://doi.org/10.1504/IJCEELL.2016.075042
[26]Saifuddin Saif, A.F.M., Prabuwono, A. S., Mahayuddin, Z. R. (2014) Moving Object Detection Using Dynamic Motion Modelling from UAV Aerial Images. Hindawi Publishing Corporation the Scientific World Journal. 12 p. DOI: http://dx.doi.org/10.1155/2014/890619
[27]Yarovy, O., Zavhorodniy, V. (2021) Antenna systems of unmanned aerial vehicles for monitoring ground objects in the conditions of intentional interference. Abstracts of reports of the scientific and practical conference “Information and telecommunication systems and technologies and cyber security: new challenges, new tasks". ISZZI KPI named after Igor Sikorskyi. P. 212-213.
[28]Chen, J., Zongjian, L., Xiaojing, W., Yongrong, L. (2012) Application of UAV system for low altitude photogrammetry in Shanxi. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXII ISPRS Congress, Melbourne, 25.08.2012-01.09.2012. Melbourne. P. 351-354.
[29]Zhuk, O., Dniprovska, A., Yarovy, O., Ruschak, O. (2019) Analysis of the effectiveness of using atmospheric optical transmission systems. Information Technology and Security. January-June 2019, Vol. 7, number. 1 (12). P. 99-109. Access mode: http://nbuv.gov.ua/UJRN/inftech_2019_7_1_12