Energy Efficient Node Selection in Edge-Fog-Cloud Layered IoT Architecture

Internet of Things (IoT) architectures generally focus on providing consistent performance and reliable communications. The convergence of IoT, edge, fog, and cloud aims to improve the quality of service of applications, which does not typically emphasize energy efficiency. Considering energy in IoT...

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Main Authors: Rolden Fereira, Chathurika Ranaweera, Kevin Lee, Jean-Guy Schneider
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/13/6039
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author Rolden Fereira
Chathurika Ranaweera
Kevin Lee
Jean-Guy Schneider
author_facet Rolden Fereira
Chathurika Ranaweera
Kevin Lee
Jean-Guy Schneider
author_sort Rolden Fereira
collection DOAJ
description Internet of Things (IoT) architectures generally focus on providing consistent performance and reliable communications. The convergence of IoT, edge, fog, and cloud aims to improve the quality of service of applications, which does not typically emphasize energy efficiency. Considering energy in IoT architectures would reduce the energy impact from billions of IoT devices. The research presented in this paper proposes an optimization framework that considers energy consumption of nodes when selecting a node for processing an IoT request in edge-fog-cloud layered architecture. The IoT use cases considered in this paper include smart grid, autonomous vehicles, and eHealth. The proposed framework is evaluated using CPLEX simulations. The results provide insights into mechanisms that can be used to select nodes energy-efficiently whilst meeting the application requirements and other network constraints in multi-layered IoT architectures.
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spelling doaj.art-8c726c9ca1c34572a26700b9670913682023-11-18T17:30:28ZengMDPI AGSensors1424-82202023-06-012313603910.3390/s23136039Energy Efficient Node Selection in Edge-Fog-Cloud Layered IoT ArchitectureRolden Fereira0Chathurika Ranaweera1Kevin Lee2Jean-Guy Schneider3School of Information Technology, Deakin University, Geelong, VIC 3220, AustraliaSchool of Information Technology, Deakin University, Geelong, VIC 3220, AustraliaSchool of Information Technology, Deakin University, Geelong, VIC 3220, AustraliaFaculty of Information Technology, Monash University, Clayton, VIC 3168, AustraliaInternet of Things (IoT) architectures generally focus on providing consistent performance and reliable communications. The convergence of IoT, edge, fog, and cloud aims to improve the quality of service of applications, which does not typically emphasize energy efficiency. Considering energy in IoT architectures would reduce the energy impact from billions of IoT devices. The research presented in this paper proposes an optimization framework that considers energy consumption of nodes when selecting a node for processing an IoT request in edge-fog-cloud layered architecture. The IoT use cases considered in this paper include smart grid, autonomous vehicles, and eHealth. The proposed framework is evaluated using CPLEX simulations. The results provide insights into mechanisms that can be used to select nodes energy-efficiently whilst meeting the application requirements and other network constraints in multi-layered IoT architectures.https://www.mdpi.com/1424-8220/23/13/6039IoTenergyedge computingcloudfognode selection
spellingShingle Rolden Fereira
Chathurika Ranaweera
Kevin Lee
Jean-Guy Schneider
Energy Efficient Node Selection in Edge-Fog-Cloud Layered IoT Architecture
Sensors
IoT
energy
edge computing
cloud
fog
node selection
title Energy Efficient Node Selection in Edge-Fog-Cloud Layered IoT Architecture
title_full Energy Efficient Node Selection in Edge-Fog-Cloud Layered IoT Architecture
title_fullStr Energy Efficient Node Selection in Edge-Fog-Cloud Layered IoT Architecture
title_full_unstemmed Energy Efficient Node Selection in Edge-Fog-Cloud Layered IoT Architecture
title_short Energy Efficient Node Selection in Edge-Fog-Cloud Layered IoT Architecture
title_sort energy efficient node selection in edge fog cloud layered iot architecture
topic IoT
energy
edge computing
cloud
fog
node selection
url https://www.mdpi.com/1424-8220/23/13/6039
work_keys_str_mv AT roldenfereira energyefficientnodeselectioninedgefogcloudlayerediotarchitecture
AT chathurikaranaweera energyefficientnodeselectioninedgefogcloudlayerediotarchitecture
AT kevinlee energyefficientnodeselectioninedgefogcloudlayerediotarchitecture
AT jeanguyschneider energyefficientnodeselectioninedgefogcloudlayerediotarchitecture