Macromodel of LPWAN networks multiprotocol interaction


DOI: 10.34759/trd-2019-108-8

Аuthors

Talaev A. D.*, Borodin V. V.**, Petrakov A. M.***

Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia

*e-mail: sa128sha@yandex.ru
**e-mail: doc_bor1@mail.ru
***e-mail: nio4@mai.ru

Abstract

Currently, there are more than a dozen different independent IOT protocols with radically different characteristics. Each Protocol is being developed and employed for specific the tasks. Combining a vast number networks into a single infrastructure based on different standards will significantly increase the versatility and adaptability of the system as a whole. The article is devoted to the issues of networking and development of a macromodel of Multi-protocol interaction.

Networking can be performed at various levels. The article analyzes the options for integrating at both applications and at the sensors levels. In the first case, interaction is performed through the appropriate network gateways, data from which comes to the Multiprotocol application server, which clients are end users. The Uni on-level network of sensors means that each sensor contains both hardware and software, enabling data exchanges in the different networks with the corresponding mono-protocol gateways. With to the considered variants of separate networks combining, two main methods of organizing Multiprotocol control systems are proposed.

To solve the problem of management based on a local network node in a Multiprotocol system, each node is equipped with software and hardware to analyze parameters of its operation, the state of the networks, and the environment. In this case, based on the parameters obtained, the node is able to independently sel ect the working network. Multiprotocol system in this case consists of nodes capable of working in several networks alternately

To implement a centralized management system, a management center Advisory module is added to the network, which is responsible for distributing nodes across networks and reconfiguring the network. The decision is made based on the information received from each of the terminal nodes about the state of the node, sensors and sensors working with it.

Keywords:

Internet of things, IoT, LPWAN, adaptive networks, network integration, network topology, sensor networks

References

  1. Kucheryavyi A.E. Elektrosvyaz’, 2013, no. 1, pp. 21 – 24.

  2. Kucheryavyi A.E., Kucheryavyi E.A., Prokop’ev A.V. Samoorganizuyushchiesya seti (Self-organizing networks), Saint Petersburg, Lyubavich, 2011, 312 p.

  3. Kirichek R.V., Paramonov A.I., Prokop’ev A.V., Kucheryavyi A.E. Informatsionnye tekhnologii i telekommunikatsii, 2014, no. 4 (8), pp. 29 – 41. URL: http://www.sut.ru/doci/nauka/review/4-14.pdf

  4. Butenko V. et al. Elektrosvyaz’, 2018, no. 12, pp. 4 – 9.

  5. Recommendation Y.2060. Overview of Internet of Things. ITU-T, February 2012, Geneva, available at: https://www.itu.int/rec/dologin_pub.asp?lang=e&id=T-REC-Y.2060-201206-I!!PDF-R&type=items

  6. Recommendation Y.2069. Framework of the WEB of Things. ITU-T, July 2012, Geneva, available at: https://www.itu.int/rec/dologin_pub.asp?lang=e&id=T-REC-Y.2069-201207-I!!PDF-R&type=items

  7. Perri Li. Arkhitektura interneta veshchei (Architecture of the Internet of Things), Moscow, DMK Press, 2018, 454 p.

  8. Uskela S. All IP architectures for cellular networks, Second International Conference on 3G Mobile Communication Technologies (3G 2001), 2001, doi: 10.1049/cp:20010037, available at: https://www.researchgate.net/publication/3897403_All_IP_architectures_for_cellular_networks

  9. Y. Choi, K.B. Lee and S. Bahk, All-IP 4G Network architecture for efficient mobility and resource management, IEEE Wireless Communications, 2007, vol. 14, no. 2, pp. 42 – 46.

  10. Sheshalevich V.V. Bezopasnost’ informatsionnykh tekhnologii, 2017, vol. 24, no. 3, pp. 7 – 17.

  11. Talaev A.D., Borodin V.V. Trudy MAI, 2018, no. 99, available at: http://trudymai.ru/eng/published.php?ID=91985

  12. De Poorter E. et al. Sub-GHz LPWAN network coexistence, management and virtualization: an overview and open research challenges, Wireless Personal Communications, 2017, vol. 95, no. 1, pp. 187 – 213.

  13. Krupka L., Vojtech L., Neruda M. The issue of LPWAN technology coexistence in IoT environment, 17th International Conference on Mechatronics-Mechatronika (ME), IEEE, 2016, Prague, pp. 1 – 8.

  14. Design and Test Solutions for the Internet of Things. White papers, Keysight Technologies, 2018, available at: http://literature.cdn.keysight.com/litweb/pdf/5992-2909EN.pdf

  15. IoT – With Great Power Comes Great Challenges. White papers. Keysight Technologies, application note, 2016, available at: http://literature.cdn.keysight.com/litweb/pdf/5992-1478EN.pdf

  16. Borodin V.V., Petrakov A.M., Shevtsov V.A. Trudy MAI, 2018, no. 100, available at: http://trudymai.ru/eng/published.php?ID=93398

  17. Borodin V.V., Petrakov A.M., Shevtsov V.A. Informatsionno-izmeritel’nye i upravlyayushchie sistemy, 2018, vol. 16, no. 8, pp. 3 – 8.

  18. Akimov E.V., Kuznetsov M.N. Trudy MAI, 2010, no. 40, available at: http://trudymai.ru/eng/published.php?ID=22873

  19. Bakhtin A.A., Volkov A.S., Baskakov A.E. Trudy MAI, 2017, no. 97. available at: http://trudymai.ru/eng/published.php?ID=87331

  20. Nastasin K.S. Rodionov V.V. Trudy MAI, 2011, no. 49, available at: http://trudymai.ru/eng/published.php?ID=28108&PAGEN_2=2


Download

mai.ru — informational site MAI

Copyright © 2000-2024 by MAI

Вход