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How to cite (IEEE):
W. Shafik, S. Matinkhah, M. Sanda, & F. Shokoor
"Internet of Things-Based Energy Efficiency Optimization Model in Fog Smart Cities," JOIV : International Journal on Informatics Visualization, vol. 5, no. 2, , pp. 105-112, May. 2021.
https://doi.org/10.30630/joiv.5.2.373
How to cite (APA):
Shafik, W., Matinkhah, S., Sanda, M., & Shokoor, F.
(2021).
Internet of Things-Based Energy Efficiency Optimization Model in Fog Smart Cities.
JOIV : International Journal on Informatics Visualization, 5(2), 105-112.
https://doi.org/10.30630/joiv.5.2.373
How to cite (Chicago):
Shafik, Wasswa, Matinkhah, S. Mojtaba, Sanda, Mamman, AND Shokoor, Fawad.
"Internet of Things-Based Energy Efficiency Optimization Model in Fog Smart Cities" JOIV : International Journal on Informatics Visualization [Online], Volume 5 Number 2 (14 May 2021)
https://doi.org/10.30630/joiv.5.2.373
How to cite (Vancouver):
Shafik W, Matinkhah S, Sanda M, & Shokoor F .
Internet of Things-Based Energy Efficiency Optimization Model in Fog Smart Cities.
JOIV : International Journal on Informatics Visualization [Online]. 2021 May;
5(2):105-112.
https://doi.org/10.30630/joiv.5.2.373
How to cite (Harvard):
Shafik, W., Matinkhah, S., Sanda, M., & Shokoor, F.
,2021.
Internet of Things-Based Energy Efficiency Optimization Model in Fog Smart Cities.
JOIV : International Journal on Informatics Visualization, [Online] 5(2), pp. 105-112.
https://doi.org/10.30630/joiv.5.2.373
How to cite (MLA8):
Shafik, Wasswa, S. Mojtaba Matinkhah, Mamman Nur Sanda, & Fawad Shokoor.
"Internet of Things-Based Energy Efficiency Optimization Model in Fog Smart Cities." JOIV : International Journal on Informatics Visualization [Online], 5.2 (2021): 105-112. Web. 1 Apr. 2023
, https://doi.org/10.30630/joiv.5.2.373
BibTex Citation Data :
@article{JOIV373,
author = {Wasswa Shafik and S. Mojtaba Matinkhah and Mamman Sanda and Fawad Shokoor},
title = {Internet of Things-Based Energy Efficiency Optimization Model in Fog Smart Cities},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {5},
number = {2},
year = {2021},
keywords = {Computation time; energy efficiency optimization; fog-enabled smart grid; Internet of Things (IoT); response time; service delay minimization.},
abstract = {In recent years, the IoT) Internet of Things (IoT) allows devices to connect to the Internet that has become a promising research area mainly due to the constant emerging of the dynamic improvement of technologies and their associated challenges. In an approach to solve these challenges, fog computing came to play since it closely manages IoT connectivity. Fog-Enabled Smart Cities (IoT-ESC) portrays equitable energy consumption of a 7% reduction from 18.2% renewable energy contribution, which extends resource computation as a great advantage. The initialization of IoT-Enabled Smart Grids including (FESC) like fog nodes in fog computing, reduced workload in Terminal Nodes services (TNs) that are the sensors and actuators of the Internet of Things (IoT) set up. This paper proposes an integrated energy-efficiency model computation about the response time and delays service minimization delay in FESC. The FESC gives an impression of an auspicious computing model for location, time, and delay-sensitive applications supporting vertically -isolated, service delay, sensitive solicitations by providing abundant, ascendable, and scattered figuring stowage and system associativity. We first reviewed the persisting challenges in the proposed state-of-the models and based on them. We introduce a new model to address mainly energy efficiency about response time and the service delays in IoT-ESC. The iFogsim simulated results demonstrated that the proposed model minimized service delay and reduced energy consumption during computation. We employed IoT-ESC to decide autonomously or semi-autonomously whether the computation is to be made on Fog nodes or its transfer to the cloud.},
issn = {2549-9904}, pages = {105--112}, doi = {10.30630/joiv.5.2.373},
url = {http://joiv.org/index.php/joiv/article/view/373}
}
Refworks Citation Data :
@article{{JOIV}{373}, author = {Shafik, W., Matinkhah, S., Sanda, M., Shokoor, F.}, title = {Internet of Things-Based Energy Efficiency Optimization Model in Fog Smart Cities}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {5}, number = {2}, year = {2021}, doi = {10.30630/joiv.5.2.373}, url = {} }Refbacks
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JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
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is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.