WSN Clustering Routing Algorithm Combining Sine Cosine Algorithm and Lévy Mutation
Directed against the disadvantages of relatively short life-cycle and unbalanced energy utilization among nodes in WSN, a clustering routing algorithm combining sine cosine algorithm and Lévy mutation is developed. During the cluster head election stage, the amount of cluster heads is dyn...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10058196/ |
| _version_ | 1811154782904123392 |
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| author | Xiaoling Guo Yongfei Ye Ling Li Renjie Wu Xinghua Sun |
| author_facet | Xiaoling Guo Yongfei Ye Ling Li Renjie Wu Xinghua Sun |
| author_sort | Xiaoling Guo |
| collection | DOAJ |
| description | Directed against the disadvantages of relatively short life-cycle and unbalanced energy utilization among nodes in WSN, a clustering routing algorithm combining sine cosine algorithm and Lévy mutation is developed. During the cluster head election stage, the amount of cluster heads is dynamically calculated according to the surviving nodes for keeping it at a reasonable value; taking full account of the current energy of nodes, only nodes with high energy can be candidate cluster heads; the fitness function is constructed according to intra-cluster distance, so that the distribution structure within the cluster are relatively uniform; the Sine Cosine Algorithm with improved step size search factor is used for cluster head election, and Lévy mutation is introduced to realize the variation of population. The group of individuals with the lowest fitness function value is used as final election scheme for current round. In the data transmission phase, for the sake of avoiding long-distance transmission, the relay node is designed to forward data. The proposed algorithm effectively extends network life-cycle and well equalizes the load of network nodes. |
| first_indexed | 2024-04-10T04:22:51Z |
| format | Article |
| id | doaj.art-6fcde057bbce441e9e1378a71caef564 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-10T04:22:51Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-6fcde057bbce441e9e1378a71caef5642023-03-11T00:00:22ZengIEEEIEEE Access2169-35362023-01-0111226542266310.1109/ACCESS.2023.325202710058196WSN Clustering Routing Algorithm Combining Sine Cosine Algorithm and Lévy MutationXiaoling Guo0https://orcid.org/0000-0002-0194-5167Yongfei Ye1https://orcid.org/0000-0002-1027-0501Ling Li2https://orcid.org/0000-0002-3338-8756Renjie Wu3https://orcid.org/0000-0002-1922-419XXinghua Sun4https://orcid.org/0000-0002-5636-1505School of Information Science and Engineering, Hebei North University, Zhangjiakou, ChinaSchool of Information Science and Engineering, Hebei North University, Zhangjiakou, ChinaSchool of Information Science and Engineering, Hebei North University, Zhangjiakou, ChinaSchool of Information Science and Engineering, Hebei North University, Zhangjiakou, ChinaSchool of Information Science and Engineering, Hebei North University, Zhangjiakou, ChinaDirected against the disadvantages of relatively short life-cycle and unbalanced energy utilization among nodes in WSN, a clustering routing algorithm combining sine cosine algorithm and Lévy mutation is developed. During the cluster head election stage, the amount of cluster heads is dynamically calculated according to the surviving nodes for keeping it at a reasonable value; taking full account of the current energy of nodes, only nodes with high energy can be candidate cluster heads; the fitness function is constructed according to intra-cluster distance, so that the distribution structure within the cluster are relatively uniform; the Sine Cosine Algorithm with improved step size search factor is used for cluster head election, and Lévy mutation is introduced to realize the variation of population. The group of individuals with the lowest fitness function value is used as final election scheme for current round. In the data transmission phase, for the sake of avoiding long-distance transmission, the relay node is designed to forward data. The proposed algorithm effectively extends network life-cycle and well equalizes the load of network nodes.https://ieeexplore.ieee.org/document/10058196/Clustering algorithmenergy balancelife cycleLévy mutationsine cosine algorithmWSN |
| spellingShingle | Xiaoling Guo Yongfei Ye Ling Li Renjie Wu Xinghua Sun WSN Clustering Routing Algorithm Combining Sine Cosine Algorithm and Lévy Mutation IEEE Access Clustering algorithm energy balance life cycle Lévy mutation sine cosine algorithm WSN |
| title | WSN Clustering Routing Algorithm Combining Sine Cosine Algorithm and Lévy Mutation |
| title_full | WSN Clustering Routing Algorithm Combining Sine Cosine Algorithm and Lévy Mutation |
| title_fullStr | WSN Clustering Routing Algorithm Combining Sine Cosine Algorithm and Lévy Mutation |
| title_full_unstemmed | WSN Clustering Routing Algorithm Combining Sine Cosine Algorithm and Lévy Mutation |
| title_short | WSN Clustering Routing Algorithm Combining Sine Cosine Algorithm and Lévy Mutation |
| title_sort | wsn clustering routing algorithm combining sine cosine algorithm and l x00e9 vy mutation |
| topic | Clustering algorithm energy balance life cycle Lévy mutation sine cosine algorithm WSN |
| url | https://ieeexplore.ieee.org/document/10058196/ |
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