Implementation of Fog Nodes in the Tree-Based Fog Computing (TBFC) Model of the IoT

  • Ryusei ChidaEmail author
  • Yinzhe Guo
  • Ryuji Oma
  • Shigenari Nakamura
  • Dilawaer Duolikun
  • Tomoya Enokido
  • Makoto Takizawa
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 29)


The IoT (Internet of Things) is so scalable that not only computers like servers but also sensors and actuators installed in various things are interconnected in networks. In the cloud computing model, application processes to process sensor data are performed on servers, this means networks are congested and servers are overloaded to handle a huge volume of sensor data. The fog computing model is proposed to efficiently realize the IoT. Here, subprocesses of an application process are performed on not only servers but also fog nodes. Servers finally receive data processed by fog nodes. Thus, traffic to process sensor data in severs and to transmit sensor data in networks can be reduced in the fog computing model. In this paper, we take the tree-based fog computing (TBFC) model where fog nodes are hierarchically structured in a height-balanced tree. We implement types of subprocesses of fog nodes in Raspbery PI. In experiment of the implemented TBFC model, we show the total execution time of nodes in the TBFC model is shorter than the cloud computing model.


IoT (Internet of Things) Fog computing model Tree-based fog computing (TBFC) model Raspberry Pi 



This work was supported by JSPS KAKENHI grant number 15H0295.


  1. 1.
    The centos linux distribution (centos linux).
  2. 2.
  3. 3.
  4. 4.
  5. 5.
    Comer, D.E.: Internetworking with TCP/IP, vol. 1. Prentice Hall, Englewood Cliffs (1991)zbMATHGoogle Scholar
  6. 6.
    Creeger, M.: Cloud computing: an overview. Queue 7(5), 3–4 (2009)CrossRefGoogle Scholar
  7. 7.
    Date, C.J.: An Introduction to Database System, 8th edn. Addison Wesley, Reading (2003)zbMATHGoogle Scholar
  8. 8.
    Enokido, T., Ailexier, A., Takizawa, M.: An extended simple power consumption model for selecting a server to perform computation type processes in digital ecosystems. IEEE Trans. Industr. Inf. 10(2), 1627–1636 (2014)CrossRefGoogle Scholar
  9. 9.
    Enokido, T., Ailexier, A., Takizawa, M.: A model for reducing power consumption in peer-to-peer systems. IEEE Syst. J. 4(2), 221–229 (2010)CrossRefGoogle Scholar
  10. 10.
    Hanes, D., Salgueiro, G., Grossetete, P., Barton, R., Henry, J.: IoT Fundamentals: Networking Technologies, Protocols, and Use Cases for the Internet of Things. Cisco Press, Indianapolis (2018)Google Scholar
  11. 11.
    Oma, R., Nakamura, S., Duolikun, D., Enokido, T., Takizawa, M.: Evaluation of an energy-efficient tree-based model of fog computing. In: Proceedings of the 21st International Conference on Network-Based Information Systems (NBiS-2018), pp. 99–109 (2018)Google Scholar
  12. 12.
    Oma, R., Nakamura, S., Duolikun, D., Enokido, T., Takizawa, M.: Fault-tolerant fog computing models in the IoT. In: Proceedings of the 13th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2018) (Accepted, 2018)Google Scholar
  13. 13.
    Oma, R., Nakamura, S., Enokido, T., Takizawa, M.: An energy-efficient model of fog and device nodes in IoT. In: Proceedings of IEEE the 32nd International Conference on Advanced Information Networking and Application (AINA-2018), pp. 301–306 (2018)Google Scholar
  14. 14.
    Oma, R., Nakamura, S., Enokido, T., Takizawa, M.: A tree-based model of energy-efficient fog computing systems in IoT. In: Proceedings of the 12th International Conference on Complex, Intelligent, and Software Intensive Systems (CISIS-2018), pp. 991–1001 (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ryusei Chida
    • 1
    Email author
  • Yinzhe Guo
    • 1
  • Ryuji Oma
    • 1
  • Shigenari Nakamura
    • 1
  • Dilawaer Duolikun
    • 1
  • Tomoya Enokido
    • 2
  • Makoto Takizawa
    • 1
  1. 1.Hosei UniversityTokyoJapan
  2. 2.Rissho UniversityTokyoJapan

Personalised recommendations