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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Veröffentlicht in:	International journal of electrical and computer engineering (Malacca, Malacca) Malacca), 2022-06, Vol.12 (3), p.2663
Hauptverfasser:	M. Zin, Affida, Idrus, Sevia Mahdaliza, Ismail, Nur Asfahani, Ramli, Arnidza, Atan, Fadila Mohd
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Bandwidths Communications traffic Computer engineering Cost control COVID-19 Electrical engineering Employment Energy consumption Learning theory Machine learning Methods Neural networks Optical communication Queuing theory Sleep
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