Analysis of methods for increasing the efficiency of dynamic routing protocols in telecommunication networks with the possibility of self-organization

Authors

DOI:

https://doi.org/10.15587/2706-5448.2021.239096

Keywords:

military radio communication system, routing protocols, Ad Hoc Networks, self-organizing networks, data transmission systems

Abstract

The object of research is the military radio communication system. Effective operation of routing protocols is possible only if there is reliable information about the network topology for network nodes, given that the mobility of individual nodes is insignificant in special purpose wireless networks. Because nodes in the network demonstrate the mobility property of the node groups. This paper solves the problem of the analysis (decomposition) of methods of protocols efficiency increase of dynamic routing in telecommunication networks with a possibility to self-organization.

In the course of the research, the authors used the main provisions of the queuing theory, the theory of automation, the theory of complex technical systems and general scientific methods of cognition, namely analysis and synthesis. This research analyzes various methods to increase the efficiency of dynamic routing protocols. Energy efficiency methods focus on three main components in energy management: battery management, transmission energy management and system energy management methods. Reliable multicast has become indispensable for the successful deployment of special purpose wireless networks, such as in tactical military operations and emergency operations. The results of the research will be useful in:

– development of new routing algorithms;

– substantiation of recommendations for improving the efficiency of the route selection process in networks with the possibility of self-organization;

– analysis of the electronic situation during hostilities (operations);

– while creating promising technologies to increase the efficiency of mobile radio networks.

Areas of further research will focus on the development of a methodology for the operational management of interference protection of intelligent military radio communication systems.

Author Biographies

Oleksii Nalapko, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine

Adjunct

Oleg Sova, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Doctor of Technical Sciences, Senior Researcher, Head of Department

Department of Automated Control Systems

Andrii Shyshatskyi, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine

PhD, Senior Researcher

Research Department of Electronic Warfare Development

Nadiia Protas, Poltava State Agrarian University

PhD, Associate Professor

Department of Information Systems and Technologies

Serhii Kravchenko, National Aviation University

PhD, Associate Professor

Department of Software Engineering

Andriy Solomakha, The Bohdan Khmelnytsky National University of Cherkasy

Senior Lecturer

Department of Military Training

Yevhenii Neroznak, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Adjunct

Department of Automated Control Systems

Oleksandr Gaman, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Senior Lecturer

Department of Automated Control Systems

Dmytro Merkotan, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Lecturer

Department of Automated Control Systems

Hennadii Miahkykh, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Lecturer

Department of Automated Control Systems

References

  1. Bashkirov, O. M., Kostina, O. M., Shishatskii, A. V. (2015). Development of integrated communication systems and data transfer for the needs of the Armed Forces. Weapons and military equipment, 5 (1), 35–39.
  2. Romanenko, І. О., Shyshatskyi, A. V., Zhyvotovskyi, R. M., Petruk, S. M. (2017). The concept of the organization of interaction of elements of military radio communication systems. Science and Technology of the Air Force of the Armed Forces of Ukraine, 1, 97–100.
  3. Romanenko, І. O., Zhivotovskii, R. M., Petruk, S. M., Shishatskii, A. V., Voloshin, O. O. (2017). Mathematical model of load distribution in telecommunication networks of special purpose. Systemy obrobky informatsii, 3, 61‒71.
  4. Pavlov, A. A., Datev, I. O. (2014). Protokoly marshrutizatsii v besprovodnykh setiakh. Trudy Kolskogo nauchnogo tsentra RAN, 5 (24). Available at: https://cyberleninka.ru/article/n/protokoly-marshrutizatsii-v-besprovodnyh-setyah
  5. Harkusha, S. V. (2012). Ohliad ta klasyfikatsiia protokoliv marshrutyzatsii v mesh-merezhakh standartu IEEE 802.11. Zbirnyk naukovykh prats VITI NTUU „KPI”, 1, 14‒28.
  6. Wang, L., Shu, Y., Dong, M., Zhang, L. (2001). Adaptive multipath source routing in Ad hoc networks. Conference: Communications, 2001. ICC 2001. IEEE International Conference, 3, 867–871. doi: http://doi.org/10.1109/icc.2001.937362
  7. Beraldi, R., Baldoni, R. (2003). Unicast Routing Techniques for Mobile Ad Hoc Networks. The handbook of ad hoc wireless networks. Boca Raton: CRC Press, 132–153.
  8. Kumar, S., Basavaraju, T. G., Puttamadappa, C. (2008). Ad hoc mobile wireless networks: principles, protocols, and applications. Boca Raton: Auerbach, 313.
  9. Shu, Y., Yang, O., Wang, L. (2003). Adaptive Routing in Ad Hoc Networks. The handbook of ad hoc wireless networks. Boca Raton: CRC Press, 262–282.
  10. Tavli, B., Heinzelman, W. (2006). Mobile Ad Hoc Networks Energy-Efficient Real-Time Data Communications. Dordrecht: Springer, 265. doi: http://doi.org/10.1007/1-4020-4633-2
  11. Raza, N., Umar Aftab, M., Qasim Akbar, M., Ashraf, O., Irfan, M. (2016). Mobile Ad-Hoc Networks Applications and Its Challenges. Communications and Network, 8 (3), 131–136. doi: http://doi.org/10.4236/cn.2016.83013
  12. Sarangapani, J. (2007). Wireless Ad Hoc and Sensor Networks Protocols Perfomance and Control. Boca Raton: CRC Press, 515. doi: http://doi.org/10.1201/9781420015317
  13. Huang, K.-L., Li, X., Liu, S., Tan, N., Chen, L. (2008). Research progress of vanadium redox flow battery for energy storage in China. Renewable Energy, 33 (2), 186–192. doi: http://doi.org/10.1016/j.renene.2007.05.025
  14. Jeong, K.-S., Lee, W.-Y., Kim, C.-S. (2005). Energy management strategies of a fuel cell/battery hybrid system using fuzzy logics. Journal of Power Sources, 145 (2), 319–326. doi: http://doi.org/10.1016/j.jpowsour.2005.01.076
  15. Kim, N., Rousseau, A. (2012). Sufficient conditions of optimal control based on Pontryagin’s minimum principle for use in hybrid electric vehicles. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 226 (9), 1160–1170. doi: http://doi.org/10.1177/0954407012438304

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Published

2021-09-23

How to Cite

Nalapko, O., Sova, O., Shyshatskyi, A., Protas, N., Kravchenko, S., Solomakha, A., Neroznak, Y., Gaman, O., Merkotan, D., & Miahkykh, H. (2021). Analysis of methods for increasing the efficiency of dynamic routing protocols in telecommunication networks with the possibility of self-organization. Technology Audit and Production Reserves, 5(2(61), 44–48. https://doi.org/10.15587/2706-5448.2021.239096

Issue

Section

Systems and Control Processes: Reports on Research Projects