Design and develop Quality of Service Framework using Fog Computing for Smart City Applications
Prabhdeep Singh1, Rajbir Kaur2
1Prabhdeep Singh, Department of Computer Science and Engineering, Punjbai University, Patiala (Punjab), India.
2Rajbir Kaur, Department of Electronics and Communication, Punjbai University, Patiala (Punjab), India.
Manuscript received on 25 November 2019 | Revised Manuscript received on 06 December 2019 | Manuscript Published on 14 December 2019 | PP: 343-348 | Volume-9 Issue-1S November 2019 | Retrieval Number: A10691191S19/2019©BEIESP | DOI: 10.35940/ijitee.A1069.1191S19
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In today’s world, Internet of Things (IoT) is has become the most promising and life-changing technology. In the past few years, IoT has become most productive in the area of healthcare, to improve the quality of care to the patients. This paper aims to reduce the delay, energy consumption of cloud data-centers and minimized the power consumption IoT devices using fog devices. To solve the problem mentioned above, we proposed the Quality of Service framework using fog computing for smart city applications named FATEH, a three-tier architecture for IoT-based application. Various quality of services parameters are optimized as For minimizing the power consumption of IoT devices, the Routing Protocol for Low power and Lossy network (RPL). The other QoS parameter is computing the performance of the proposed framework which has been evaluated through the iFogsim toolkit and the Cooja simulator. Results show the efficient reduction in the delay as well as energy consumption in the proposed scenario and provide better QoS framework.
Keywords: Fog Computing, Cloud Computing, IoT, Healthcare, Cooja.
Scope of the Article: Patterns and Frameworks