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The Development of Soft Defined Distributed Infocommunication Systems Architecture Based on the Active Data Technology

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 95))

Abstract

The active data technology allows developing the architecture of soft defined systems based on the new principles. The most interesting implementation is to build self-organized networks that consist of UAV and robotic complexes. This paper is dedicated to the new architecture of mobile communication networks proposed by the authors. The analytical review of existing architectures of wireless self-organizing networks is given; research of available solutions’ weaknesses allowed to put forward ideas for the development of a new concept. The proposed concept of node reconfiguration was developed; it helps to provide the required network structure with appropriate characteristics. The authors introduced the technology that was developed to organize a transmission channel for networks with mobile nodes based on the active data concept. The suggested architecture allows to arrange data transmission channels in the areas where it is difficult to deploy a network of ground communications nodes.

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References

  1. Quick, D.: Boeing demonstrates swarm technology. https://newatlas.com/uav-swarm-technology/19581/. Accessed 15 Apr 2019

  2. Chmaj, G., Selvaraj, H.: UAV cooperative data processing using distributed computing platform. In: Advances in Intelligent Systems and Computing, vol. 1089, pp. 455–461. Springer, Cham (2015)

    Chapter  Google Scholar 

  3. Pavlov, A.A., Datiev, I.O.: Routing protocols in wireless networks [Protokoly marshrutizatsii v besprovodnykh setyakh]. In: Proceedings of the Kola Science Center of the Russian Academy of Sciences [Trudy Kol’skogo nauchnogo tsentra RAN], vol. 5, no. 24 (2014). (in Russian)

    Google Scholar 

  4. Bekmezci, İ., Sahingoz, O.K., Temel, Ş.: Flying ad-hoc networks (FANETs): a survey. Ad Hoc Netw. 11(3), 1254–1270 (2013)

    Article  Google Scholar 

  5. Kuiper, E., Simin, N.-T.: Mobility models for UAV group reconnaissance applications. In: International Conference on Wireless and Mobile Communications (ICWMC 2006), vol. 33 (2006)

    Google Scholar 

  6. Li, X., Yan, J.: LEPR: link stability estimation-based preemptive routing protocol for flying ad hoc networks. In: Proceedings – IEEE Symposium on Computers and Communications (ISCC), Heraklion, pp. 1079–1083 (2017)

    Google Scholar 

  7. Kucheryavy, A.E., Vladyko, A.G., Kirichyok, R.V.: Flying sensor networks - a new Internet of Things App. Actual problems of information telecommunications in science and education. In: IV International Scientific-Technical and Scientific-Methodical Conference: A Collection of Scientific Articles in 2 Volumes, vol. 1, pp. 17–22 (2015). (in Russian)

    Google Scholar 

  8. Camp, T., Boleng, J., Davies, V.: A survey of mobility models for ad hoc network research. Wireless Commun. Mob. Comput. (WCMC) 2(5), 483–502 (2002). Special issue on Mobile Ad Hoc Networking: Research, Trends and Applications

    Article  Google Scholar 

  9. Leonov, A.V., Chaplyshkin, V.A.: FANET networks. Omskiy nauchnyy vestnik 3(143), 297–301 (2015). (in Russian)

    Google Scholar 

  10. Rusakov, A.M.: Model of flow control of measuring information of sensors in wireless sensor networks. Promyshlennyye ASU i Kontrollery 4, 37–40 (2010). (in Russian)

    Google Scholar 

  11. Jawhar, I., Mohamed, N., Al-Jaroodi, J., et al.: Communication and networking of UAV-based systems: classification and associated architectures. J. Netw. Comput. Appl. 84, 93–108 (2017)

    Article  Google Scholar 

  12. Floreano, D., Wood, R.J.: Science, technology and the future of small autonomous drones. Nature 521(7553), 460–466 (2015). https://doi.org/10.1038/nature14542

    Article  ADS  Google Scholar 

  13. Samad, T., Bay, J.S., Godbole, D.: Network-centric systems for military operations in urban terrain: the role of UAVs. J. Proc. IEEE 95(1), 4118473, 92–107 (2007). https://doi.org/10.1109/jproc.2006.887327

    Article  Google Scholar 

  14. Lysenko, O.I., Valuiskyi, S.V., Tachinina, O.M., Danylyuk, S.L.: A method of control by telecommunication Airsystems for wireless AD HOC networks optimization. In: IEEE 3rd International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD) Proceedings, Kyiv, Ukraine, 13–15 October 2015, pp. 182–185 (2015)

    Google Scholar 

  15. Kirichek, R., Kulik, V.: Long-range data transmission on flying ubiquitous sensor networks (FUSN) by using LPWAN protocols. In: Vishnevskiy, V., Samouylov, K., Kozyrev, D. (eds.) Distributed Computer and Communication Networks (DCCN 2016). Communications in Computer and Information Science, vol. 678, pp. 442–453. Springer, Cham (2016)

    Chapter  Google Scholar 

  16. Ono, F., Ochiai, H., Miura, R.: A wireless relay network based on unmanned aircraft system with rate optimization. IEEE Trans. Wireless Commun. 99, 7562472 (2016). https://doi.org/10.1109/TWC.2016.2606388

    Article  Google Scholar 

  17. Aksyonov, K., Antonova, A., Goncharova, N.: Choice of the scheduling technique taking into account the subcontracting optimization. In: Thampi, S.M., Krishnan, S., Corchado Rodriguez, J.M., Das, S., Wozniak, M., Al-Jumeily, D. (eds.) Advances in Signal Processing and Intelligent Recognition Systems, SIRS, Advances in Intelligent Systems and Computing, vol. 678, pp. 297–304. Springer, Cham (2018)

    Google Scholar 

  18. Shishaev, M.G., Potaman, S.A.: Modern technologies of ad-hoc type networks and possible approaches to the organization of peer-to-peer telecommunication networks based on mobile devices with a short range of action. Trudy Kol’skogo nauchnogo tsentra RAN 3, 70–74 (2010). (in Russian)

    Google Scholar 

  19. Alexandrov, V.V., Kuleshov, S.V., Zaytseva, A.A.: Active data in digital software defined systems based on SEMS structures. In: Gorodetskiy, A. (ed.) Smart Electromechanical Systems. Studies in Systems, Decision and Control, vol. 49, pp. 61–69. Springer, Cham (2016)

    Chapter  Google Scholar 

  20. Kuleshov, S.V., Tsvetkov, O.V.: Active data in digital software-defined systems. J. Informatsionno-izmeritel’nyye i upravlyayushchiye sistemy 6, 12–19 (2014). (in Russian)

    Google Scholar 

  21. Alexandrov, V.V., Kuleshov, S.V.: Esterification and terminal programs. J. Informatsionnoizmeritel’nyye i upravlyayushchiye sistemy 10(6), 50–53 (2008). (in Russian)

    Google Scholar 

  22. Tang, Y.-R., Li, Y.: The software architecture of a reconfigurable real-time onboard control system for a small UAV helicopter. In: 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp. 228–233. IEEE, Incheon (2011)

    Google Scholar 

  23. Kuleshov, S.V., Zaytseva, A.A., Aksenov, A.Y.: The conceptual view of unmanned aerial vehicle implementation as a mobile communication node of active data transmission network. Int. J. Intell. Unmanned Syst. 6(4), 174–183 (2018). https://doi.org/10.1108/IJIUS-04-2018-0010

    Article  Google Scholar 

  24. Quick, D.: Aerial swarming robots to create communications networks for disaster relief. https://newatlas.com/smavnet-robot-swarm/16499/. Accessed 25 Apr 2019

  25. Owano, N.: Airborne robot swarms are making complex moves (w/video). https://phys.org/news/2012-02-airborne-robot-swarms-complex-video.html. Accessed 25 Apr 2019

  26. Created a “flying repeater” for the ESU TK: Army Journal “Army Gazette” (2012). https://armynews.ru/2012/10/sozdan-letayushhij-retranslyator-dlya-esu-tz/

  27. The complex ESU TZ: the desired and real: Army Journal “Army Gazette” (2010). https://armynews.ru/2010/11/kompleks-esu-tz/

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Acknowledgments

The research was granted by the State Contract from Ministry of Science and Education of the Russian Federation N 0073-2019-0005.

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Correspondence to Alexandra A. Zaytseva .

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Kuleshov, S.V., Zaytseva, A.A., Ronzhin, A.L. (2020). The Development of Soft Defined Distributed Infocommunication Systems Architecture Based on the Active Data Technology. In: Arseniev, D., Overmeyer, L., Kälviäinen, H., Katalinić, B. (eds) Cyber-Physical Systems and Control. CPS&C 2019. Lecture Notes in Networks and Systems, vol 95. Springer, Cham. https://doi.org/10.1007/978-3-030-34983-7_25

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  • DOI: https://doi.org/10.1007/978-3-030-34983-7_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34982-0

  • Online ISBN: 978-3-030-34983-7

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