SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithm
The Internet of Things (IoT) includes billions of different devices and various applications that generate a huge amount of data. Due to inherent resource limitations, reliable and robust data transmission for a huge number of heterogenous devices is one of the most critical issues for IoT. Therefor...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2023-07-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-1424.pdf |
| _version_ | 1827903225225805824 |
|---|---|
| author | Ramin Mohammadi Sedat Akleylek Ali Ghaffari |
| author_facet | Ramin Mohammadi Sedat Akleylek Ali Ghaffari |
| author_sort | Ramin Mohammadi |
| collection | DOAJ |
| description | The Internet of Things (IoT) includes billions of different devices and various applications that generate a huge amount of data. Due to inherent resource limitations, reliable and robust data transmission for a huge number of heterogenous devices is one of the most critical issues for IoT. Therefore, cluster-based data transmission is appropriate for IoT applications as it promotes network lifetime and scalability. On the other hand, Software Defined Network (SDN) architecture improves flexibility and makes the IoT respond appropriately to the heterogeneity. This article proposes an SDN-based efficient clustering scheme for IoT using the Improved Sailfish optimization (ISFO) algorithm. In the proposed model, clustering of IoT devices is performed using the ISFO model and the model is installed on the SDN controller to manage the Cluster Head (CH) nodes of IoT devices. The performance evaluation of the proposed model was performed based on two scenarios with 150 and 300 nodes. The results show that for 150 nodes ISFO model in comparison with LEACH, LEACH-E reduced energy consumption by about 21.42% and 17.28%. For 300 ISFO nodes compared to LEACH, LEACH-E reduced energy consumption by about 37.84% and 27.23%. |
| first_indexed | 2024-03-13T00:09:53Z |
| format | Article |
| id | doaj.art-a9b2808b36f84248b934fffc41c5ba96 |
| institution | Directory Open Access Journal |
| issn | 2376-5992 |
| language | English |
| last_indexed | 2024-03-13T00:09:53Z |
| publishDate | 2023-07-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj.art-a9b2808b36f84248b934fffc41c5ba962023-07-12T15:05:09ZengPeerJ Inc.PeerJ Computer Science2376-59922023-07-019e142410.7717/peerj-cs.1424SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithmRamin Mohammadi0Sedat Akleylek1Ali Ghaffari2Ondokuz Mayis University, Department of Computational Sciences, Samsun, TürkiyeDepartment of Computer Engineering, Ondokuz Mayis University Samsun, Samsun, TürkiyeDepartment of Computer Engineering, Tabriz branch, Islamic Azad University, Tabriz, IranThe Internet of Things (IoT) includes billions of different devices and various applications that generate a huge amount of data. Due to inherent resource limitations, reliable and robust data transmission for a huge number of heterogenous devices is one of the most critical issues for IoT. Therefore, cluster-based data transmission is appropriate for IoT applications as it promotes network lifetime and scalability. On the other hand, Software Defined Network (SDN) architecture improves flexibility and makes the IoT respond appropriately to the heterogeneity. This article proposes an SDN-based efficient clustering scheme for IoT using the Improved Sailfish optimization (ISFO) algorithm. In the proposed model, clustering of IoT devices is performed using the ISFO model and the model is installed on the SDN controller to manage the Cluster Head (CH) nodes of IoT devices. The performance evaluation of the proposed model was performed based on two scenarios with 150 and 300 nodes. The results show that for 150 nodes ISFO model in comparison with LEACH, LEACH-E reduced energy consumption by about 21.42% and 17.28%. For 300 ISFO nodes compared to LEACH, LEACH-E reduced energy consumption by about 37.84% and 27.23%.https://peerj.com/articles/cs-1424.pdfSDNClusteringSailfish optimization algorithm |
| spellingShingle | Ramin Mohammadi Sedat Akleylek Ali Ghaffari SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithm PeerJ Computer Science SDN Clustering Sailfish optimization algorithm |
| title | SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithm |
| title_full | SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithm |
| title_fullStr | SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithm |
| title_full_unstemmed | SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithm |
| title_short | SDN-IoT: SDN-based efficient clustering scheme for IoT using improved Sailfish optimization algorithm |
| title_sort | sdn iot sdn based efficient clustering scheme for iot using improved sailfish optimization algorithm |
| topic | SDN Clustering Sailfish optimization algorithm |
| url | https://peerj.com/articles/cs-1424.pdf |
| work_keys_str_mv | AT raminmohammadi sdniotsdnbasedefficientclusteringschemeforiotusingimprovedsailfishoptimizationalgorithm AT sedatakleylek sdniotsdnbasedefficientclusteringschemeforiotusingimprovedsailfishoptimizationalgorithm AT alighaffari sdniotsdnbasedefficientclusteringschemeforiotusingimprovedsailfishoptimizationalgorithm |