Skip to main content
Log in

A novel scheduling algorithm development and analysis for heterogeneous IoT protocol control system to achieve SCADA optimization: a next generation post covid solution

  • Original Research
  • Published:
International Journal of Information Technology Aims and scope Submit manuscript

Abstract

In this paper, a new intelligent message scheduling algorithm is designed for complex Internet of Things (IoT) systems where machine to machine (M2M) and sensor to sensor (S2S) seamless communication for multi-protocol IoT system is presented. Paper also presents the usability scenario for hydroponic and vertical farming applications, where the proposed algorithm improves the reliability and performance of the IoT system. Mathematical model is developed to understand the messaging pattern and for execution of protocol queue. The middleware broker architecture facilitates the quick multiple protocol communication requests and response handling. This method provides a new approach where monitoring of farming can be executed as an unmanned monitoring system, as end-to-end system communication is managed by a proposed algorithm.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Availability of data

The data generated during the current study is available from the corresponding author on reasonable request.

References

  1. Raju KL, Vijayaraghavan V (2020) Iot technologies in agricultural environment: a survey. Wire Pers Commun 113(4):2415–2446

    Article  Google Scholar 

  2. Panda C, Bhatnagar R. (2019). Social Internet of Things in Agriculture: An Overview and Future Scope, pp. 317–334 . https://doi.org/10.1007/978-3-030-24513-9_18

  3. Serpanos D, Wolf M (2018) Industrial Internet of Things. Springer, Cham, pp 37–54

    Google Scholar 

  4. Atlam HF, Wills GB (2020) IoT security, privacy, safety and ethics. In: Farsi M, Daneshkhah A, Hosseinian-Far A, Jahankhani H (eds). Springer, Cham, pp 123–149. https://doi.org/10.1007/978-3-030-18732-3_8

  5. Rayes A, Salam S (2022) The things in IoT: sensors and actuators. Springer, Cham, pp 63–82. https://doi.org/10.1007/978-3-030-90158-5_3

    Book  Google Scholar 

  6. Kim W-S, Lee W-S, Kim Y-J (2020) A review of the applications of the internet of things (iot) for agricultural automation. J Biosyst Eng 45(4):385–400. https://doi.org/10.1007/s42853-020-00078-3

    Article  Google Scholar 

  7. Köksal Ö, Tekinerdogan B (2019) Architecture design approach for iot-based farm management information systems. Precision Agric 20(5):926–958. https://doi.org/10.1007/s11119-018-09624-8

    Article  Google Scholar 

  8. Mishra B (2018) Performance evaluation of mqtt broker servers. In: Gervasi O, Murgante B, Misra S, Stankova E, Torre CM, Rocha AMAC, Taniar D, Apduhan BO, Tarantino E, Ryu Y (eds) Computational science and its applications—ICCSA 2018. Springer, Cham, pp 599–609

    Chapter  Google Scholar 

  9. Deshpande SN, Jogdand RM (2022) Industrial automation by development of novel scheduling algorithm for industrial iot: Iiot re-birth out of covid-19 scenario. In: Bhateja V, Satapathy SC, Travieso-Gonzalez CM, Adilakshmi T (eds) Smart intelligent computing and applications, vol 1. Springer, Singapore, pp 481–491

    Chapter  Google Scholar 

  10. Majumder S, Ray S, Sadhukhan D, Khan MK, Dasgupta M (2021) Ecc-coap: Elliptic curve cryptography based constraint application protocol for internet of things. Wirel. Pers. Commun. 116(3):1867–1896. https://doi.org/10.1007/s11277-020-07769-2

    Article  Google Scholar 

  11. Bolettieri S, Tanganelli G, Vallati C, Mingozzi E (2018) pcocoa: a precise congestion control algorithm for coap. Ad Hoc Netw 80:116–129. https://doi.org/10.1016/j.adhoc.2018.06.015

    Article  Google Scholar 

  12. Babar M, Jan MA, He X, Tariq MU, Mastorakis S, Alturki R (2023) An optimized iot-enabled big data analytics architecture for edge-cloud computing. IEEE Internet Things J 10(5):3995–4005. https://doi.org/10.1109/JIOT.2022.3157552

    Article  Google Scholar 

  13. Yamamoto K, Fukuhara A, Nishi H (2022) Hardware implementation of mqtt broker and precise time synchronization using iot devices. IEEE Trans Electr Electron Eng 17(2):209–217. https://doi.org/10.1002/tee.23511

    Article  Google Scholar 

  14. Abdullah S, Asghar MN, Ashraf M, Abbas N (2020) An energy-efficient message scheduling algorithm with joint routing mechanism at network layer in internet of things environment. Wirel Pers Commun 111(3):1821–1835. https://doi.org/10.1007/s11277-019-06959-x

    Article  Google Scholar 

  15. Sen AAA, Yamin M (2021) Advantages of using fog in iot applications. Int J Inf Technol 13(3):829–837. https://doi.org/10.1007/s41870-020-00514-9

    Article  Google Scholar 

  16. Zeghida H, Boulaiche M, Chikh R (2023) Securing mqtt protocol for iot environment using ids based on ensemble learning. Int J Inf Secur. https://doi.org/10.1007/s10207-023-00681-3

    Article  Google Scholar 

  17. Kenei J, Opiyo E (2022) Semantic modeling and visualization of semantic groups of clinical text documents. Int J Inf Technol 14(5):2585–2593. https://doi.org/10.1007/s41870-022-00970-5

    Article  Google Scholar 

  18. Chaudhary RRK, Chatterjee K (2022) A lightweight security framework for electronic healthcare system. Int J Inf Technol 14(6):3109–3121. https://doi.org/10.1007/s41870-022-01034-4

    Article  Google Scholar 

  19. Jadhav SB, Udupi VR, Patil SB (2021) Identification of plant diseases using convolutional neural networks. Int J Inf Technol 13(6):2461–2470. https://doi.org/10.1007/s41870-020-00437-5

    Article  Google Scholar 

  20. Lamba S, Baliyan A, Kukreja V (2023) A novel gcl hybrid classification model for paddy diseases. Int J Inf Technol 15(2):1127–1136. https://doi.org/10.1007/s41870-022-01094-6

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sujit N. Deshpande.

Ethics declarations

Conflict of interest

The authors have no conflicts of interest to declare. All co-authors have seen and agree with the contents of the manuscript and there is no financial interest to report. We certify that the submission is original work and is not under review at any other publication.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Deshpande, S.N., Jogdand, R.M. A novel scheduling algorithm development and analysis for heterogeneous IoT protocol control system to achieve SCADA optimization: a next generation post covid solution. Int. j. inf. tecnol. 15, 2123–2131 (2023). https://doi.org/10.1007/s41870-023-01267-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41870-023-01267-x

Keywords

Navigation