Alexander M. Mezhuev,Ivan I. Pasechnikov,Evgeny V. Konovalchuk,Dmitry V. Rybakov,





The present research is devoted to developing a method of structural adaptation of network information systems (NIS) in conditions of high unstable input flow and the influence of destabilizing factors (interference) based on the current values ​​of the generalized parameter of evaluating the effectiveness of information exchange (information efficiency) in the basic and reserve structures. Applying the abovementioned method allows determining the boundary value of the input traffic for implementing structural adaptation, as well as forming an unambiguous condition for the transitions between the basic and reserve topologies of the system. The method can significantly increase the efficiency of information transfer and significantly expand the bandwidth of the NIS. Simulation and analytical models for evaluating the effectiveness of information exchange in NIS using the obtained method of structural adaptation were developed. During the simulation, the feasibility of the developed method and the reliability of the results obtained on its basis were confirmed, as well as recommendations were given on its practical application as algorithmic software for the monitoring controller of the system.


I. Bertsekas, D. Data Networks: 2nd ed. / D. Bertsekas, R. Gallager // Prentice-Hall, Englewood Cliffs. NJ, 1992. – 556 р.
II. Borshchev, A. The Big Book of Simulation Modeling. Multimethod modeling with AnyLogic 6 / A. Borshchev // AnyLogic North America, 2013. – 614 p.
III. C. Chaabane, A. Pegatoquet, M. Auguin and M. Ben Jemaa, “A Joint Mobility Management Approach and Data Rate Adaptation Algorithm for IEEE 802.15.4/ZigBee Nodes,” Wireless Sensor Network, Vol. 6 No. 2, 2014, pp. 27-34.
IV. Diestel, R. GraphTheory, ElectronicEdition / R. Diestel // Springer-Verlag, NY 2016. – 447 p.
V. Goldsmith, A. Wireless Communications. – M.: Technosphere, 2011. 904 p.
VI. Golovin, O. V. Systems and devices of short-wave radio communication / O. V. Golovin, S. P. Prostov. – M.: Hotline – Telecom, 2006. 600 p.
VII. Julian, D. QoS and fairness constrained convex optimization of resource allocation for wireless cellular and ad hoc networks / D. Julian, M. Chiang, D. O’Neill, S. Boyd // Proc. IEEE Infocom Conf. – June 2002. – pp. 477 – 486.
VIII. Korennoy, A. V. Applied problems of navigation, communication and control. Methods of analysis and synthesis. – M.: Radio Engineering, 2015.– 161 p.
IX. M. Ahmed, A. Abdullah and A. El-Sayed, “A Survey of MANET Survivability Routing Techniques,” International Journal of Communications, Network and System Sciences, Vol. 6 No. 4, 2013, pp. 176-185.
X. M. Chen, L. Zhou, T. Hara, Y. Xiao and V. Leung, “Advances in Multimedia Communications,” International Journal of Communication Systems, Vol. 24, No. 10, 2011, pp. 1243-1245.
XI. Mezhuev, A. M. Analysis of the efficiency function of the information network and the algorithm for evaluating the modes of information exchange based on derivatives of a generalized parameter / A. M. Mezhuev, I. I. Pasechnikov, A. V. Korennoy // Electromagnetic waves and electronic systems. – M .: Radio engineering, 2017. – No. 5. – P. 12 – 22.
XII. Mezhuev, A. M. Joint solution of the problems of algorithmic and structural adaptation in infocommunication systems // High technology in space research of the Earth. – S.-Pb. : Media Publisher, 2015. – V. 7, No. 6. – P. 36 – 43.
XIII. Mezhuev, A. M. Methodological foundations of the organization of multi-curev adaptation in network information systems / A. M. Mezhuev, I.I. Pasechnikov, A.V. Korennoy // Electromagnetic waves and electronic systems. – M.: Radio engineering, 2019. No. 4. – P. 35 – 45.
XIV. Mezhuev, A. M. Tensor orthogonal model taking into account the influence of the noise situation when evaluating the information efficiency of infocommunication networks / A. M. Mezhuev, I. I. Pasechnikov, A. V. Korennoy // Radio engineering. – M.: Radio engineering, 2018. – No. 10. – P. 96 – 108.
XV. Miguel López-Benítez, Javier Gozálvez. Link adaptation algorithms for improved delivery of delay- and error-sensitive packet-data services over wireless networks. // Wireless Networks. – April 2010, Volume 16, Issue 3, pp 593–606.
XVI. Pasechnikov, I. I. Methodology of analysis and synthesis of extremely loaded information networks. – M.: Mechanical Engineering-1, 2004. 216 p.
XVII. Ramanathan R. Topology control of multihop wireless networks using transmit power adjustment / R. Ramanathan, R. Rosales-Hain // Proc. IEEE Infocont Conf. – March 2000. – pp. 404 – 413.
XVIII. Renato E. N. Moraes, Welber W. F. dos Reis, Helder R. O. Rocha, Daniel J. C. Coura Power-efficient and interference-free link scheduling algorithms for connected wireless sensor networks, 1–20 JUN 2019, Wireless Netw /
XIX. Saâd Biaz, Yawen Dai. Basestation flow control for wired to wireless networks. // Wireless Networks. – April 2010, Volume 16, Issue 3, pp 775–791.
XX. Schriber, T. J. Simulation using GPSS / T. J. Schriber // John Wiley & Sons, New York, 1974. – 533 p.
XXI. Y. Qu and S. Georgakopoulos, “An Average Distance Based Self-Relocation and Self-Healing Algorithm for Mobile Sensor Networks,” Wireless Sensor Network, Vol. 4 No. 11, 2012, pp. 257-263.

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