Skip to main content
SpringerLink
Log in

The intelligent IoT common service platform architecture and service implementation

  • Published:
The Journal of Supercomputing Aims and scope Submit manuscript

Abstract

The Internet of Thing (IoT) provides a wide range of services for human convenience by linking the connectivity from different platform devices. The IoT service holds an unlimited potentials, because the knowledge extracted from the big data can be applied to a huge variety service areas such as smart homes, smart buildings and transportations as well. There are lots of IoT service platforms developed by several companies. Except some platforms, most of them have been only focused on the connectivity. As a result, they have some limits for supporting an intelligent service. For the reason, we design the intelligent IoT common service platform architecture and implement the basic operations in this paper. We also develop the IoT Broker for providing the connectivity as well. We hereby verify the usefulness of the proposed service platform by implementing the IoT service on the platform.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

Notes

  1. https://allseenalliance.org/.

  2. http://nodered.org/.

  3. http://www.hardkernel.com.

  4. http://www.currentcost.com/products.html.

  5. http://www.doc.ic.ac.uk/~dk3810/data/.

References

  1. Gubbi J (2013) Internet of Things (IoT): a vision, architectural elements, and future directions. Future Gener Comput Syst 29(7):1645–1660

    Article  Google Scholar 

  2. He W, Yan G, Da Xu L (2014) Developing vehicular data cloud services in the IoT environment. Ind Inform IEEE Trans 10(2):1587–1595

    Article  Google Scholar 

  3. Yang G (2014) A health-IoT platform based on the integration of intelligent packaging, unobtrusive bio-sensor, and intelligent medicine box. Ind Inform IEEE Trans 10(4):2180–2191

    Article  Google Scholar 

  4. MacGillivray C, Turner V, Lund D (2013) Worldwide internet of things (iot) 2013 -2020 forecast: billions of things, trillions of dollars. IDC. Doc 243661(3)

  5. ITU-T (2012) Overview of the internet of things

  6. Swetina J, Lu G, Jacobs P, Ennesser F, Song J (2014) Toward astandardized common M2M service layer platform: introduction to oneM2M. IEEE Wireless Commun 21(3):20–26

  7. Xively platform. https://xively.com/platform/

  8. Thingspeak. http://www.thingspeak.com/

  9. Everything. https://evrythng.com/

  10. Bormann C, Castellani AP, Shelby Z (2012) Coap: an application protocol for billions of tiny internet nodes. IEEE Internet Computing 16(2):62

  11. Stirbu V (2010) A restful architecture for adaptive and multi-device application sharing. In: Proceedings of the First International Workshop on RESTful Design, ACM

  12. Villaverde BC, Pesch D, Alberola RDP, Fedor S, Boubekeur M (2012) Constrained application protocol for low power embedded networks: a survey. In: 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), IEEE, pp. 702–707

  13. Hunkeler U, Truong HL, Stanford-Clark A (2008) MQTT-S—A publish/subscribe protocol for Wireless Sensor Networks. In: 3rd International Conference on Communication Systems Software and Middleware and Workshops, 2008. COMSWARE 2008, IEEE pp 791–798

  14. Lee S, Kim H, Hong DK, Ju H (2013) Correlation analysis of MQTT loss and delay according to QoS level. In: 2013 International Conference on Information Networking (ICOIN), IEEE, pp 714–717

  15. Kim S-M, Choi H-S, Rhee W-S (2015) IoT home gateway for auto-configuration and management of MQTT devices. In: 2015 IEEE Conference on Wireless Sensors (ICWiSe), IEEE

  16. Villari M et al (2014) Alljoyn lambda: an architecture for the management of smart environments in iot. In: 2014 International Conference on Smart Computing Workshops (SMARTCOMP Workshops), IEEE

  17. Blackstock M, Lea R (2014) IoT interoperability: a hub-based approach. In: 2014 International Conference on the Internet of Things (IOT), IEEE

  18. Alliance ZB (2006) Zigbee specification

  19. oneM2M, oneM2M, oneM2M White Paper (2015). http://www.onem2m.org/images/files/oneM2M-whitepaper-January-2015

  20. Alpaydin E (2014) Introduction to machine learning. MIT Press, Cambridge

    MATH  Google Scholar 

  21. IERC (2012) The Internet of Things 2012, new horizons. IERC White Paper

  22. IERC (2011) Internet of Things: Pan European Research and Innovation Vision. IERC White Paper

  23. Farinaccio L, Zmeureanu R (1999) Using a pattern recognition approach to disaggregate the total electricity consumption in a house into the major end-uses. Energy Build 30(3):245–259

    Article  Google Scholar 

  24. Marchiori A, Hakkarinen D, Han Q, Earle L (2011) Circuit-level load monitoring for household energy management. IEEE Pervasive Comput 10(1):40–48

    Article  Google Scholar 

  25. Marceau ML, Zmeureanu R (2000) Nonintrusive load disaggregation computer program to estimate the energy consumption of major end uses in residential buildings. Energy Convers Manag 41(13):1389–1403

    Article  Google Scholar 

  26. Zoha A, Gluhak A, Nati M, Imran MA (2013) Low-power appliance monitoring using factorial hidden Markov models. In: IEEE 2013 Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, pp 527–532

  27. Ghahramani Z, Jordan MI (1997) Factorial hidden Markov models. Mach Learn 29(2–3):245–273

    Article  MATH  Google Scholar 

  28. Welch LR (2003) Hidden Markov models and the Baum–Welch algorithm. IEEE Inf Theory Soc Newsl 53(4):10–13

    Google Scholar 

  29. Forney GD Jr (1973) The viterbi algorithm. Proc IEEE 61(3):268–278

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgments

This work was supported by the ICT R&D program of MSIP/IITP [10043907, Development of high-performance IoT device and Open Platform with Intelligent Software].

Author information

Authors and Affiliations

  1. Information Security and IoT Laboratory, 6th Eng. Bldg(A06), Pusan National University, Pusan, Republic of Korea

    Jihyun Kim & Howon Kim

  2. IBM Korea, Three IFC, Seoul, Republic of Korea

    Yonghun Jeon

Authors
  1. Jihyun Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yonghun Jeon
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Howon Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Howon Kim.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kim, J., Jeon, Y. & Kim, H. The intelligent IoT common service platform architecture and service implementation. J Supercomput 74, 4242–4260 (2018). https://doi.org/10.1007/s11227-016-1845-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11227-016-1845-1

Keywords

Search

Navigation