Advertisement

The Efficient Network Interoperability in IoT Through Distributed Software-Defined Network with MQTT

  • Rajae TamriEmail author
  • Said Rakrak
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 7)

Abstract

The IoT is an infrastructure of heterogeneous connected Things. The increase of different technologies used in IoT creates a high degree of heterogeneity at any level (device, network, middleware, application service, data, and semantics), thus bringing many challenges for ensuring interoperability.

In this sense, this paper presented network interoperability, which is the ability to exchange information between heterogeneous smart Things/devices used heterogeneous communication protocols, also to integrate new devices into any IoT network. That requires efficient and dynamic solutions to ensure interoperability of this level. To deal with the IoT network heterogeneity challenge we propose an architecture solution that ensures networking interoperability using Distributed Software-defined networking (SDN) incorporate with MQTT (Message Queuing Telemetry Transport). In this architecture the control plan managed by several controllers and each of these controllers is responsible for the management of a particular domain of the IoT network and the exchange of information with the controllers of another domain of the same level. In addition, a powerful, high-level controller. That has a global view to manage and control entire architecture. It also equipped with the MQTT protocol, which offers a lot of advantages.

Keywords

Interoperability IoT MQTT Network interoperability SDN 

References

  1. 1.
    Bouchemal, N., Kallel, S., Bouchemal, N.: A survey : WSN heterogeneous architecture platform for IoT. Springer.  https://doi.org/10.1007/978-3-030-19945-6Google Scholar
  2. 2.
    Burhan, M., Rehman, R.A.: IoT elements, layered architectures and security issues : a comprehensive survey 1–37 (2018).  https://doi.org/10.3390/s18092796CrossRefGoogle Scholar
  3. 3.
    Sciencedirect, P., Manoj, N., Kumar, P.: The Internet of Things: insights into the building blocks, component interactions, and architecture layers. Procedia Comput. Sci. 132, 109–117 (2018).  https://doi.org/10.1016/j.procs.2018.05.170CrossRefGoogle Scholar
  4. 4.
    Dhivya, V., Singh, A.K.: Internet of Things : a survey of the advancements. Int. J. Eng. Technol. 7, 255–259 (2018)Google Scholar
  5. 5.
    Palade, A., Cabrera, C., Li, F., White, G., Siobhán, M.A.R.: Middleware for Internet of Things: an evaluation in a small-scale IoT environment. J. Reliab. Intell. Environ. (2018).  https://doi.org/10.1007/s40860-018-0055-4CrossRefGoogle Scholar
  6. 6.
    Rathod, D.: Survey of Middlewares for Internet of Things. In: International Conference on Recent Trends in Advance Computing, pp. 129–135 (2018)Google Scholar
  7. 7.
    Hatzivasilis, C., The, G.O., Hatzivasilis, G., Askoxylakis, I.: City Research Online City. University of London Institutional Repository the Interoperability of Things : 2600, pp. 0–2 (2018).  https://doi.org/10.1109/CAMAD.2018.8514952
  8. 8.
    Noura, M.: Interoperability in Internet of Things : taxonomies and open challenges. Mob. Netw. Appl. 24(3), 796–809 (2019)CrossRefGoogle Scholar
  9. 9.
    Noura, M., Gaedke, M., Atiquzzaman, M., Chemnitz, T.U.: Interoperability in Internet of Things infrastructure : classification, challenges, and future work interoperability classification in IoT (2018)Google Scholar
  10. 10.
    Son, J., Buyya, R.: A Taxonomy of software-defined networking (SDN) - enabled cloud computing. ACM Comput. Surv. (CSUR) 51(3), 59 (2018)CrossRefGoogle Scholar
  11. 11.
    Valdivieso, L., Torres, R.V.: SDN/NFV architecture for IoT networks SDN/NFV architecture for IoT networks (2018).  https://doi.org/10.5220/0007234804250429
  12. 12.
    Priya, I.D., Silas, S.: A survey on research challenges and applications in empowering the SDN-Based Internet of Things. Springer, Singapore.  https://doi.org/10.1007/978-981-13-1882-5Google Scholar
  13. 13.
    Zhang, Y., Cui, L., Wang, W., Zhang, Y.: A survey on software defined networking with multiple controllers. J. Netw. Comput. Appl. 103, 101–118 (2018).  https://doi.org/10.1016/j.jnca.2017.11.015CrossRefGoogle Scholar
  14. 14.
    Karakus, M., Durresi, A.: Review article a survey: control plane scalability issues and approaches in software-defined networking (SDN). Comput. Netw. 112, 279–293 (2017).  https://doi.org/10.1016/j.comnet.2016.11.017CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Applied Mathematics and Computer Science Laboratory (LAMAI)Cadi Ayyad UniversityMarrakechMorocco

Personalised recommendations