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ECMS: An Edge Intelligent Energy Efficient Model in Mobile Edge Computing

journal contribution

posted on 2022-03-01, 00:00 authored by Z Zhou, Mohammad ShojafarMohammad Shojafar, Jemal AbawajyJemal Abawajy, H Yin, H Lu

ECMS: An Edge Intelligent Energy Efficient Model in Mobile Edge Computing

History

Journal

IEEE Transactions on Green Communications and Networking

Volume

6

Issue

1

Pagination

238 - 247

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Publisher DOI

https://doi.org/10.1109/TGCN.2021.3121961

ISSN

2473-2400

eISSN

2473-2400

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000756846800024&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

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Keywords

Science & Technology Technology Telecommunications Energy consumption Load modeling Computational modeling Data models Servers Feature extraction Internet of Things Mobile Edge Computing (MEC)Green Computing Energy Prediction and Measurement Elman Neural Network (ENN)CONSUMPTION FRAMEWORK

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All Rights Reserved

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