A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT

A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT

In mobile edge computing (MEC), it is difficult to recognise an optimum solution that can perform in limited energy by selecting the best communication path and components. This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on c...

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Bibliographic Details
Main Authors: Dhananjay Bisen, Umesh Kumar Lilhore, Poongodi Manoharan, Fadl Dahan, Olfa Mzoughi, Fahima Hajjej, Praneet Saurabh, Kaamran Raahemifar
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Electronics
Subjects:
mobile edge computing
IoT
deep learning
cluster head
K-means
energy efficient algorithm
Online Access:https://www.mdpi.com/2079-9292/12/6/1384

Internet

https://www.mdpi.com/2079-9292/12/6/1384

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