Towards sustainable industry 4.0: A survey on greening IoE in 6G networks

The dramatic recent increase of the smart Internet of Everything (IoE) in Industry 4.0 has significantly increased energy consumption, carbon emissions, and global warming. IoE applications in Industry 4.0 face many challenges, including energy efficiency, heterogeneity, security, interoperability, and centralization. Therefore, Industry 4.0 in Beyond the Sixth-Generation (6G) networks demands moving to sustainable, green IoE and identifying efficient and emerging technologies to overcome sustainability challenges. Many advanced technologies and strategies efficiently solve issues by enhancing connectivity, interoperability, security, decentralization, and reliability. Greening IoE is a promising approach that focuses on improving energy efficiency, providing a high Quality of Service (QoS), and reducing carbon emissions to enhance the quality of life at a low cost. This survey provides a comprehensive overview of how advanced technologies can contribute to green IoE in the 6G network of Industry 4.0 applications. This survey provides a comprehensive overview of advanced technologies, including Blockchain, Digital Twins (DTs), Unmanned Aerial Vehicles (UAVs, a.k.a. drones), and Machine Learning (ML), to improve connectivity, QoS, and energy efficiency for green IoE in 6G networks. We evaluate the capability of each technology in greening IoE in Industry 4.0 applications and analyse the challenges and opportunities to make IoE greener using the discussed technologies.

Authors

Institutions

Publication Details

Journal
Ad Hoc Networks
Published
2024-08-30
DOI
https://doi.org/10.1016/j.adhoc.2024.103610
Citations
19
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
6.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Towards sustainable industry 4.0: A survey on greening IoE in 6G networks

Saeed Hamood Alsamhi, Radhya Sahal, Edward Curry, Jahan Hassan et al.
19 citations
Ad Hoc Networks
IoT and Edge/Fog Computing
6.63
article

Towards sustainable industry 4.0: A survey on greening IoE in 6G networks

Saeed Hamood Alsamhi, Radhya Sahal, Edward Curry, Jahan Hassan, Mohsen Guizani, Liang Zhao, Mohammed A. A. Al‐qaness, Ammar Hawbani, Santosh Kumar, Sumit Srivastava
article en
19 citations

Abstract

The dramatic recent increase of the smart Internet of Everything (IoE) in Industry 4.0 has significantly increased energy consumption, carbon emissions, and global warming. IoE applications in Industry 4.0 face many challenges, including energy efficiency, heterogeneity, security, interoperability, and centralization. Therefore, Industry 4.0 in Beyond the Sixth-Generation (6G) networks demands moving to sustainable, green IoE and identifying efficient and emerging technologies to overcome sustainability challenges. Many advanced technologies and strategies efficiently solve issues by enhancing connectivity, interoperability, security, decentralization, and reliability. Greening IoE is a promising approach that focuses on improving energy efficiency, providing a high Quality of Service (QoS), and reducing carbon emissions to enhance the quality of life at a low cost. This survey provides a comprehensive overview of how advanced technologies can contribute to green IoE in the 6G network of Industry 4.0 applications. This survey provides a comprehensive overview of advanced technologies, including Blockchain, Digital Twins (DTs), Unmanned Aerial Vehicles (UAVs, a.k.a. drones), and Machine Learning (ML), to improve connectivity, QoS, and energy efficiency for green IoE in 6G networks. We evaluate the capability of each technology in greening IoE in Industry 4.0 applications and analyse the challenges and opportunities to make IoE greener using the discussed technologies.

Ad Hoc NetworksVol. 165
Shenyang Aerospace University (CN), Zhejiang Normal University (CN), M.J.P. Rohilkhand University (IN), Korea University (KR), Hodeidah University (YE), Mohamed bin Zayed University of Artificial Intelligence (AE), Lebanese International University (YE), Dublin City University (IE), International Institute of Information Technology, Central Queensland University (AU), Ibb University (YE)
Science Foundation Ireland, University of Galway
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
IoT and Edge/Fog Computing
6.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.