Skip to main content

Applications of IoT and Cloud Computing: A COVID-19 Disaster Perspective

  • Chapter
  • First Online:
New Frontiers in Cloud Computing and Internet of Things

Abstract

The utility of Internet of Things (IoT) and cloud computing has become indispensable in various industrial sectors. This chapter provides a brief insight into the application of IoT and cloud computing in education, entertainment, transportation, manufacturing, healthcare and agriculture. Besides, it also discusses the future opportunities for such emerging technologies in these sectors. Further, there have been massive developments in the field of cloud computing which has played a crucial role in ensuring a proper learning environment and resources.

The entertainment industry has also seen changes similar to the ones in the education industry. The transportation and logistics industry was impacted heavily during the COVID-19 pandemic. With technologies breaking benchmarks time and again, technology will soon make a huge difference with respect to transportation. The need and ability to control various aspects of a manufacturing pipeline remotely and wirelessly has been a domain of interest for many researchers and scholars and the need is increasing day by day. The healthcare industry envisions transforming a hospital-centric approach into a complete healthcare experience at the comfort of your home using the latest technologies including IoT and cloud computing. This crisis due to the pandemic has forced farmers to look towards technology; therefore, IoT-based agricultural solutions have become popular all across the world. Finally, this chapter also discusses the future opportunities provided by these technologies in handling the day-to-day livelihood during such pandemic disasters.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. L. Sydow, Video Conferencing Apps Surge from Coronavirus Impact App Annie Blog. App Annie (3030), https://www.appannie.com/en/insights/market-data/video-conferencing-apps-surge-coronavirus/

  2. W. Shi, J. Cao, Q. Zhang, Y. Li, L. Xu, Edge computing: Vision and challenges. IEEE Internet Things J 3(5), 637–646 (2016). https://doi.org/10.1109/JIOT.2016.2579198

    Article  Google Scholar 

  3. How Video Conferencing Works – VoIP Supply. (n.d.). Voip Supply. Retrieved January 2, 2021, from https://www.voipsupply.com/how-video-conferencingworks#:%7E:text=Once%20digitally%20compressed%2C%20the%20video, video%20images%20and%20audio%20 sounds

  4. K. Tange, M. De Donno, X. Fafoutis, N. Dragoni, A systematic survey of industrial internet of things security: Requirements and fog computing opportunities. IEEE Commun. Surv. Tutor. 22(4), 2489–2520 (2020)

    Article  Google Scholar 

  5. A. Brem, E. Viardot, P.A. Nylund, Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives? Technol. Forecast. Soc. Chang. 120451 (2020)

    Google Scholar 

  6. R. Bunker, A. Elsherbeni, A modular integrated RFID system for inventory control applications. Electronics 6(1), 9 (2017)

    Article  Google Scholar 

  7. Unit-R&D, T. T., Smart Fleet Management System Using IoT, Computer Vision, Cloud Computing and Machine Learning Technologies. (2019)

    Google Scholar 

  8. P. Killeen, B. Ding, I. Kiringa, T. Yeap, IoT-based predictive maintenance for fleet management. Procedia Comput. Sci. 151, 607–613 (2019)

    Article  Google Scholar 

  9. Y.P. Tsang, K.L. Choy, C.H. Wu, G.T.S. Ho, H.Y. Lam, P.S. Koo, An IoT-based cargo monitoring system for enhancing operational effectiveness under a cold chain environment. Int. J. Eng. Bus. Manag. 9, 1847979017749063 (2017)

    Article  Google Scholar 

  10. J. Scott, C. Scott, Drone delivery models for healthcare, in Proceedings of the 50th Hawaii International Conference on System Sciences, (2017)

    Google Scholar 

  11. M.N. Mohammed, H. Syamsudin, N.A. Hazairin, M. Haki, S. Al-Zubaidi, A.K. Sairah, Y. Eddy, Toward a novel design for spray disinfection system to combat coronavirus (Covid-19) using IoT based drone technology. Rev. Argent. Clín. Psicol. 29(5), 240 (2020)

    Google Scholar 

  12. P. Bucsky, Autonomous vehicles and freight traffic: Towards better efficiency of road, rail or urban logistics? Urban Dev. Issues 58(1), 41–52 (2018)

    Article  Google Scholar 

  13. K. Dhoble, A. Deshmukh, V. Patil, Car to Car Communication Using IOT. (2019)

    Google Scholar 

  14. S. Kathiravan Srinivasan, S. Kumaran, Quality Assessment of Friction Welding using Image Super resolution via Deep Convolutional Neural Networks, Materials Today: Proceedings, vol 22, Part 4 (2020), pp. 2266–2273. https://doi.org/10.1016/j.matpr.2020.03.347

    Book  Google Scholar 

  15. H. Geng, SCADA Fundamentals and Applications in the IoT. (2017)

    Google Scholar 

  16. S. Fahrni, C. Jansen, T. Kasah, B. Körber, N. Mohr, Coronavirus: Industrial IoT in Challenging Times (McKinsey & Company, 2020)

    Google Scholar 

  17. M. Cunche, A. Boutet, C. Castelluccia, C. Lauradoux, D. Le Métayer, V. Roca, On Using Bluetooth-Low-Energy for Contact Tracing (Doctoral Dissertation, Inria Grenoble Rhône-Alpes; INSA de Lyon, 2020)

    Google Scholar 

  18. H.S. Raju, S. Shenoy, Real-time remote monitoring and operation of industrial devices using IoT and cloud, in 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I), (IEEE, 2016), pp. 324–329

    Chapter  Google Scholar 

  19. K. Momeni, M. Martinsuo, Remote monitoring in industrial services: Need-to-have instead of nice to-have. J. Bus. Ind. Mark (2018)

    Google Scholar 

  20. R.B. Abdessalem, S. Nejati, L.C. Briand, T. Stifter, Testing vision-based control systems using learnable evolutionary algorithms, in 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE), (IEEE, 2018), pp. 1016–1026

    Google Scholar 

  21. M. Nasajpour, S. Pouriyeh, R.M. Parizi, M. Dorodchi, M. Valero, H.R. Arabnia, Internet of Things for current COVID-19 and future pandemics: An exploratory study. J. Healthc. Inform. Res., 1–40 (2020)

    Google Scholar 

  22. K. Srinivasan, N. Mahendran, D.R. Vincent, C.-Y. Chang, S. Syed-Abdul, Realizing an integrated multistage support vector machine model for augmented recognition of unipolar depression. Electronics 9, 647 (2020). https://doi.org/10.3390/electronics9040647

    Article  Google Scholar 

  23. G. Sheares, Internet of things-enabled smart devices, biomedical big data, and real-time clinical monitoring in COVID-19 patient health prediction. Am. J. Med. Res. 7(2), 64–70 (2020)

    Article  Google Scholar 

  24. S. Tanwar, Fog Computing for Healthcare 4.0 Environments. (2020)

    Google Scholar 

  25. M. Tavakoli, J. Carriere, A. Torabi, Robotics, smart wearable technologies, and autonomous intelligent systems for healthcare during the COVID-19 pandemic: An analysis of the state of the art and future vision. Adv. Intell. Syst. 2000071 (2020)

    Google Scholar 

  26. K.P. Iyengar, P. Ish, G.K. Upadhyaya, N. Malhotra, R. Vaishya, V.K. Jain, COVID-19 and mortality in doctors. Diabetes Metab. Syndr. Clin. Res. Rev. 14(6), 1743–1746 (2020)

    Article  Google Scholar 

  27. L. Aymerich-Franch, I. Ferrer, The implementation of social robots during the COVID-19 pandemic. arXiv preprint arXiv:2007.03941. (2020)

    Google Scholar 

  28. E. Musk, Neuralink, An integrated brain-machine interface platform with thousands of channels. J. Med. Internet Res. 21(10), e16194 (2019)

    Article  Google Scholar 

  29. A. Saglietto, F. D’Ascenzo, G.B. Zoccai, G.M. De Ferrari, COVID-19 in Europe: The Italian lesson. Lancet 395(10230), 1110–1111 (2020)

    Article  Google Scholar 

  30. J. Yoosefi Lebni, J. Abbas, F. Moradi, M.R. Salahshoor, F. Chaboksavar, S.F. Irandoost, et al., How the COVID-19 pandemic effected economic, social, political, and cultural factors: A lesson from Iran. Int. J. Soc. Psychiatry, 0020764020939984 (2020)

    Google Scholar 

  31. Y. Siron, A. Wibowo, B.S. Narmaditya, Factors affecting the adoption of e-learning in Indonesia: Lesson from Covid-19. J. Technol. Sci. Educ. 10(2), 282–295 (2020)

    Article  Google Scholar 

  32. A. Vangala, A.K. Das, N. Kumar, M. Alazab, Smart secure sensing for IoT-based agriculture: Blockchain perspective. IEEE Sens. J.. https://doi.org/10.1109/JSEN.2020.3012294

  33. M.S. Mekala, P. Viswanathan, A Survey: Smart agriculture IoT with cloud computing, in 2017 International Conference on Microelectronic Devices, Circuits and Systems (ICMDCS), Vellore, (2017), pp. 1–7. https://doi.org/10.1109/ICMDCS.2017.8211551

    Chapter  Google Scholar 

  34. D. Elavarasan, D.R. Vincent, V. Sharma, A.Y. Zomaya, K. Srinivasan, Forecasting yield by integrating agrarian factors and machine learning models: A survey. Comput. Electron. Agric. 155, 257–282 (2018). https://doi.org/10.1016/j.compag.2018.10.024

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kathiravan Srinivasan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Dhyani, K., Guhan, T., Gupta, P., Bhachawat, S., Ganapathy, G.P., Srinivasan, K. (2022). Applications of IoT and Cloud Computing: A COVID-19 Disaster Perspective. In: Buyya, R., Garg, L., Fortino, G., Misra, S. (eds) New Frontiers in Cloud Computing and Internet of Things. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-031-05528-7_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-05528-7_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05527-0

  • Online ISBN: 978-3-031-05528-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics