Determination of optimized sleep interval for 10 gigabit-passive optical network using learning intelligence

Determination of optimized sleep interval for 10 gigabit-passive optical network using learning intelligence

The overall aim of this project is to investigate the application of a machine learning method in finding the optimized length of asleep time interval (TAS) in a cyclic sleep mechanism (CSM). Since past decade, the implementations of CSM in the optical network unit (ONU) to reduce the energy consump...

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Bibliographic Details
Main Authors: M. Zin, Affida, Idrus, Sevia Mahdaliza, Ismail, Nur Asfahani, Ramli, Arnidza, Mohd. Atan, Fadila
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2022
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/99415/1/SeviaMahdalizaIdrus2022_DeterminationofOptimizedSleepIntervalfor10Gigabit.pdf
http://eprints.utm.my/id/eprint/99415/
http://dx.doi.org/10.11591/ijece.v12i3.pp2663-2671
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/id/eprint/99415/1/SeviaMahdalizaIdrus2022_DeterminationofOptimizedSleepIntervalfor10Gigabit.pdf
http://eprints.utm.my/id/eprint/99415/
http://dx.doi.org/10.11591/ijece.v12i3.pp2663-2671

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