Application and Location Specific Models for Fog Based IOT Platform for Smart Cities

Authors

  • S. M. Abhishek  Department of Electronics and communication Engineering, PESITM, Shivamogga, Karnataka, India
  • Manjunath N. P.  Department of Electronics and communication Engineering, PESITM, Shivamogga, Karnataka, India
  • Padmavati  Department of Electronics and communication Engineering, PESITM, Shivamogga, Karnataka, India
  • Chetan L. S.  Department of Electronics and communication Engineering, PESITM, Shivamogga, Karnataka, India

Keywords:

Cloud Computing Paradigm, Fog Computing, IoT, IoT Nodes, Network Latency.

Abstract

The Internet of Things (IoT) is a paradigm where everyday objects are equipped with sensing, identifying, communicating and processing capabilities that will allow them to network with other devices and services over the Internet to accomplish some objective. Fog computing is extension of cloud computing paradigm to edge of network, which is a more highly visualized platform which provides computation, storage, and networking services between end IoT devices and back-end cloud servers. Fog like computational and storage buffers, which are located, locally between the IoT nodes and the cloud infrastructure process a significant amount of regional data to reduce huge network latency and overhead at the backend cloud infrastructure. In this paper we are going to propose Fog to be the appropriate platform for critical Internet of Things (IoT) services and applications for Smart cities.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2016-06-30

Issue

Volume 2, Issue 3, May-June-2016

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
S. M. Abhishek, Manjunath N. P., Padmavati, Chetan L. S., " Application and Location Specific Models for Fog Based IOT Platform for Smart Cities, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 3, pp.89-92, May-June-2016.