A new clustering‐based optimised energy approach for fog‐enabled IoT networks
Abstract The Internet of Things (IoT) has induced many advances in the modern world, thus always arousing great interest from the scientific community. Due to a large number of connected devices, this paradigm has put into circulation an enormous data quantity to be processed and offloaded while res...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-07-01
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| Series: | IET Networks |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ntw2.12082 |
| _version_ | 1797780536287035392 |
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| author | Salah Eddine Essalhi Mohammed Raiss El Fenni Houda Chafnaji |
| author_facet | Salah Eddine Essalhi Mohammed Raiss El Fenni Houda Chafnaji |
| author_sort | Salah Eddine Essalhi |
| collection | DOAJ |
| description | Abstract The Internet of Things (IoT) has induced many advances in the modern world, thus always arousing great interest from the scientific community. Due to a large number of connected devices, this paradigm has put into circulation an enormous data quantity to be processed and offloaded while respecting latency and energy constraints that Central Cloud alone cannot meet. Hence, Fog Computing has come to fill these gaps by providing computing, management, and storage resources via small‐distributed data centres located at the network edge. The majority of previous research on centralised clustering in an IoT environment did not consider both residual energy and the location of the IoT devices, as well as the signalling communication frequency, to solve an issue of extreme energy consumption during data exchange between IoT devices and Fog entities. Thus, the objective of this study is to find solutions taking into account these criteria to guarantee the Fog system's energy efficiency while coping with the energy consumption increase related to the handling of massive data volume. Indeed, the proposed study presents a novel approach based on Fog‐IoT architecture to ensure intelligent energy management during communication and offloaded task processing in IoT applications. The simulation results show its effectiveness. |
| first_indexed | 2024-03-12T23:45:26Z |
| format | Article |
| id | doaj.art-6b561d3ba0c04547a59778c16bcc0352 |
| institution | Directory Open Access Journal |
| issn | 2047-4954 2047-4962 |
| language | English |
| last_indexed | 2024-03-12T23:45:26Z |
| publishDate | 2023-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Networks |
| spelling | doaj.art-6b561d3ba0c04547a59778c16bcc03522023-07-14T07:32:04ZengWileyIET Networks2047-49542047-49622023-07-0112415516610.1049/ntw2.12082A new clustering‐based optimised energy approach for fog‐enabled IoT networksSalah Eddine Essalhi0Mohammed Raiss El Fenni1Houda Chafnaji2Department of Communication Systems National Institute of Posts and Telecommunications‐INPT Rabat MoroccoDepartment of Communication Systems National Institute of Posts and Telecommunications‐INPT Rabat MoroccoDepartment of Communication Systems National Institute of Posts and Telecommunications‐INPT Rabat MoroccoAbstract The Internet of Things (IoT) has induced many advances in the modern world, thus always arousing great interest from the scientific community. Due to a large number of connected devices, this paradigm has put into circulation an enormous data quantity to be processed and offloaded while respecting latency and energy constraints that Central Cloud alone cannot meet. Hence, Fog Computing has come to fill these gaps by providing computing, management, and storage resources via small‐distributed data centres located at the network edge. The majority of previous research on centralised clustering in an IoT environment did not consider both residual energy and the location of the IoT devices, as well as the signalling communication frequency, to solve an issue of extreme energy consumption during data exchange between IoT devices and Fog entities. Thus, the objective of this study is to find solutions taking into account these criteria to guarantee the Fog system's energy efficiency while coping with the energy consumption increase related to the handling of massive data volume. Indeed, the proposed study presents a novel approach based on Fog‐IoT architecture to ensure intelligent energy management during communication and offloaded task processing in IoT applications. The simulation results show its effectiveness.https://doi.org/10.1049/ntw2.12082cloud computingenergy management systemsInternet of Thingsrouting protocols |
| spellingShingle | Salah Eddine Essalhi Mohammed Raiss El Fenni Houda Chafnaji A new clustering‐based optimised energy approach for fog‐enabled IoT networks IET Networks cloud computing energy management systems Internet of Things routing protocols |
| title | A new clustering‐based optimised energy approach for fog‐enabled IoT networks |
| title_full | A new clustering‐based optimised energy approach for fog‐enabled IoT networks |
| title_fullStr | A new clustering‐based optimised energy approach for fog‐enabled IoT networks |
| title_full_unstemmed | A new clustering‐based optimised energy approach for fog‐enabled IoT networks |
| title_short | A new clustering‐based optimised energy approach for fog‐enabled IoT networks |
| title_sort | new clustering based optimised energy approach for fog enabled iot networks |
| topic | cloud computing energy management systems Internet of Things routing protocols |
| url | https://doi.org/10.1049/ntw2.12082 |
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