A Proposal for a Distributed Computational Framework in IoT Context

  • Higinio Mora
  • María Teresa Signes-Pont
  • David Gil-Méndez
  • Francisco Javier Ferrández-Pastor
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10586)

Abstract

The new internet of things paradigm allows for small devices with sensing, processing and communication capabilities to be designed, which enable the development of sensors, embedded devices and other ‘things’ ready to understand the environment. In this paper, a distributed model and an architecture for internet of things paradigm is proposed to perform complex computational tasks and run advanced applications. This novel computing system defines a network design with different levels which combines sensing and processing capabilities based on the Mobile Cloud Computing paradigm.

Keywords

Mobile cloud computing Internet of things Embedded systems Computer modelling Novel computing systems 
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References

  1. 1.
    Zhu, N., et al.: Bridging e-health and the internet of things: the SPHERE project. IEEE Intell. Syst. 30(4), 39–46 (2015)CrossRefGoogle Scholar
  2. 2.
    Mora-Mora, H., Gilart-Iglesias, V., Gil, D., Sirvent-Llamas, A.: A computational architecture based on RFID sensors for traceability in smart cities. Sensors 15, 13591–13626 (2015)CrossRefGoogle Scholar
  3. 3.
    Qin, G., Wang, L., Li, Q.: Resource symmetric dispatch model for internet of things on advanced logistics. Symmetry 8(4), 20 (2016)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Pérez-Delhoyo, R., et al.: Improving urban accessibility: a methodology for urban dynamics analysis in smart, sustainable and inclusive cities. Int. J. Sust. Dev. Plan. 12(3), 357–367 (2017)CrossRefGoogle Scholar
  5. 5.
    Arslan, M.Y., Singh, I., Singh, S., Madhyastha, H.V., Sundaresan, K., Krishnamurthy, S.V.: CWC: a distributed computing infrastructure using smartphones. IEEE Trans. Mob. Comput. 14(8), 1587–1600 (2015)CrossRefGoogle Scholar
  6. 6.
    Keller, C., Schlegel, T.: Model based and service oriented interaction for ubiquitous environments. In: ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 429–434 (2016)Google Scholar
  7. 7.
    Narman, H.S., Hossain, M.S., Atiquzzaman, M., et al.: Scheduling internet of things applications in cloud computing. Ann. Telecommun. 72, 79 (2017)CrossRefGoogle Scholar
  8. 8.
    Haferkamp, M., Sliwa, B., Ide, C., Wietfeld, C.: Payload-size and deadline-aware scheduling for time-critical cyber physical systems. In: Wireless Days (2017)Google Scholar
  9. 9.
    Li, L., Li, S., Zhao, S.: QoS-aware scheduling of services-oriented internet of things. IEEE Trans. Ind. Inf. 10(2), 1497–1505 (2014)MathSciNetCrossRefGoogle Scholar
  10. 10.
    Gil, D., et al.: Internet of things: a review of surveys based on context aware intelligent services. Sensors 16(7), 1069 (2016)CrossRefGoogle Scholar
  11. 11.
    Colom, J.F., et al.: Collaborative building of behavioural models based on internet of things. Comput. Electr. Eng. 58, 385–396 (2016)CrossRefGoogle Scholar
  12. 12.
    Dinh, H.T., Lee, C., Niyato, D., Wang, P.: A survey of mobile cloud computing: architecture, applications, and approaches. Wirel. Commun. Mob. Comput. 3(18), 1587–1611 (2013)CrossRefGoogle Scholar
  13. 13.
    Mora, H., Mendez, D.G., López, J.F.C., Pont, M.T.S.: Flexible frame-work for real-time embedded systems based on mobile cloud computing paradigm. Mob. Inf. Syst. (2015). doi: 10.1155/2015/652462

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Higinio Mora
    • 1
  • María Teresa Signes-Pont
    • 1
  • David Gil-Méndez
    • 1
  • Francisco Javier Ferrández-Pastor
    • 1
  1. 1.Department of Computer Science Technology and ComputationUniversity of AlicanteAlicanteSpain

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