Skip to main content
Log in

Intelligent Internet of Things Enabled Edge System for Smart Healthcare

  • Short Communication
  • Published:
National Academy Science Letters Aims and scope Submit manuscript

Abstract

Internet of Things (IoT) has provided a new horizon to explore numerous application deployment in the pervasive domain. However, due to power, delay and centralized issues of existing IoT-cloud scenario, novel interventions are getting outperformed in many ways. Edge computing has come up with new aspect to mainly minimize the packet transmission delay between the end user device to the remote cloud. Thus, a new way of delay mitigation has been possible. In this study, we conglomerate both the IoT and edge computing to facilitate a proof-of-concept application to application toward serving an e-healthcare scenario. We deploy our application on top of the newly released IoTSim-Edge simulator to diminish the dependency over the physical use of IoT device, sensor and actuators and increase the time to marketize the prototype. In this study, we propose a novel architecture that deals with the e-healthcare application development by using pulse rate monitoring sensor. We also develop activity diagram, class relationship diagram, and configure the engine of the system. We investigate the application against the shrinking factor of the IoT edge, mean execution time, and overall energy consumption by the novel IoT-edgelet modules.

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
Fig. 6

References

  1. Porambage P, Okwuibe J, Liyanage M, Ylianttila M, Taleb T (2018) Survey on multi-access edge computing for internet of things realization. In: IEEE communications surveys and tutorials, vol 20, no 4, pp 2961–2991, fourthquarter 2018. https://doi.org/10.1109/comst.2018.2849509

  2. Pan J, McElhannon J (2018) Future edge cloud and edge computing for internet of things applications. IEEE Internet Things J 5(1):439–449. https://doi.org/10.1109/JIOT.2017.2767608

    Article  Google Scholar 

  3. El-Sayed H et al (2018) Edge of things: the big picture on the integration of edge, IoT and the cloud in a distributed computing environment. IEEE Access 6:1706–1717. https://doi.org/10.1109/ACCESS.2017.2780087

    Article  Google Scholar 

  4. Omoniwa B, Hussain R, Javed MA, Bouk SH, Malik SA (2019) Fog/edge computing-based IoT (FECIoT): architecture, applications, and research issues. IEEE Internet Things J 6(3):4118–4149. https://doi.org/10.1109/JIOT.2018.2875544

    Article  Google Scholar 

  5. Zhou Z, Chen X, Li E, Zeng L, Luo K, Zhang J (2019) Edge intelligence: paving the last mile of artificial intelligence with edge computing. Proc IEEE 107(8):1738–1762. https://doi.org/10.1109/JPROC.2019.2918951

    Article  Google Scholar 

  6. Premsankar G, Di Francesco M, Taleb T (2018) Edge computing for the internet of things: a case study. IEEE Internet Things J 5(2):1275–1284. https://doi.org/10.1109/JIOT.2018.2805263

    Article  Google Scholar 

  7. Yu W et al (2018) A survey on the edge computing for the internet of things. IEEE Access 6:6900–6919. https://doi.org/10.1109/ACCESS.2017.2778504

    Article  Google Scholar 

  8. Oteafy SMA, Hassanein HS (2018) IoT in the fog: a roadmap for data-centric IoT development. IEEE Commun Mag 56(3):157–163. https://doi.org/10.1109/MCOM.2018.1700299

    Article  Google Scholar 

  9. Verma S, Kawamoto Y, Fadlullah ZM, Nishiyama H, Kato N (2017) A survey on network methodologies for real-time analytics of massive IoT data and open research issues. In: IEEE communications surveys and tutorials, vol 19, no 3, pp 1457–1477, thirdquarter 2017. https://doi.org/10.1109/comst.2017.2694469

  10. Oteafy SMA, Hassanein HS (2019) Leveraging tactile internet cognizance and operation via IoT and edge technologies. Proc IEEE 107(2):364–375. https://doi.org/10.1109/JPROC.2018.2873577

    Article  Google Scholar 

  11. Abbas N, Zhang Y, Taherkordi A, Skeie T (2018) Mobile edge computing: a survey. IEEE Internet Things J 5(1):450–465. https://doi.org/10.1109/JIOT.2017.2750180

    Article  Google Scholar 

  12. Liu D, Yan Z, Ding W, Atiquzzaman M (2019) A survey on secure data analytics in edge computing. IEEE Internet Things J 6(3):4946–4967. https://doi.org/10.1109/JIOT.2019.2897619

    Article  Google Scholar 

  13. Muhammed T, Mehmood R, Albeshri A, Katib I (2018) UbeHealth: a personalized ubiquitous cloud and edge-enabled networked healthcare system for smart cities. IEEE Access 6:32258–32285. https://doi.org/10.1109/ACCESS.2018.2846609

    Article  Google Scholar 

  14. Mouradian C, Naboulsi D, Yangui S, Glitho RH, Morrow MJ, Polakos PA (2018) A comprehensive survey on fog computing: state-of-the-art and research challenges. In: IEEE communications surveys and tutorials, vol 20, no 1, pp 416–464, firstquarter 2018. https://doi.org/10.1109/comst.2017.2771153

  15. CloudSim. http://www.cloudbus.org/cloudsim/. Accessed 3 Jan 2020

  16. EdgeCloudSim. https://github.com/CagataySonmez/EdgeCloudSim. Accessed 1 Jan 2020

  17. GreenCloud. https://greencloud.gforge.uni.lu/. Accessed 10 Jan 2020

  18. iFogSim. https://opensourceforu.com/2018/12/ifogsim-an-open-source-simulator-for-edge-computing-fog-computing-and-iot/. Accessed 2 Jan 2020

  19. Jha DN, Alwasel K, Alshoshan A, Huang X, Naha RK, Battula SK, Garg S, Puthal D, James P, Zomaya A, Dustdar S, Ranjan R (2020) IoTSim-Edge: a simulation framework for modeling the behavior of internet of things and edge computing environments. In: Software: practice and experience. https://doi.org/10.1002/spe.2787

  20. Wang S, Xu J, Zhang N, Liu Y (2018) A survey on service migration in mobile edge computing. IEEE Access 6:23511–23528. https://doi.org/10.1109/ACCESS.2018.2828102

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Partha Pratim Ray.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ray, P.P., Dash, D. & De, D. Intelligent Internet of Things Enabled Edge System for Smart Healthcare. Natl. Acad. Sci. Lett. 44, 325–330 (2021). https://doi.org/10.1007/s40009-020-01003-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40009-020-01003-0

Keywords

Navigation