An Improved LEACH Protocol for Optimizing Cluster Head Selection and In-cluster Selection
The LEACH protocol ′ s selection of cluster heads neglects critical factors such as node density, energy levels, and distance. This oversight can lead to the selection of low-energy cluster heads, resulting in premature aging across the entire network. To address this issue, an enhanced version of L...
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| Format: | Article |
| Language: | Chinese |
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Harbin University of Science and Technology Publications
2024-10-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2361 |
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| author | SHIBing GAOZelin SUNYueping HUANJuan SUNTao |
| author_facet | SHIBing GAOZelin SUNYueping HUANJuan SUNTao |
| author_sort | SHIBing |
| collection | DOAJ |
| description | The LEACH protocol ′ s selection of cluster heads neglects critical factors such as node density, energy levels, and distance. This oversight can lead to the selection of low-energy cluster heads, resulting in premature aging across the entire network. To address this issue, an enhanced version of LEACH has been proposed. This protocol initially employs the root mean square (RMS) of distance within the energy consumption model to determine the optimal number of cluster heads. Additionally, it integrates a spacing operator , a residual energy operator, and a node density operator, all derived from energy consumption metrics, to refine the threshold function. Furthermore, in selecting nodes for cluster inclusion, three criteria are considered: the communication radius of each node, the energy available for allocation by the nodes within the cluster, and the distance between the cluster head and the base station. A cost function is subsequently established, allowing for the assignment of nodes to the appropriate cluster based on the calculated optimal value. Simulation experiments indicate that when network node mortality reaches 90% , the cycle numbers of LEACH-enhance increase by 69. 7% , 68. 3% , 33. 4% , and 30. 5% compared to LEACH-improve, LEACH-E, LEACH-OR, and LPLL-LEACH, respectively. Furthermore, these improvements confirm that the energy balance associated with the LEACH-enhance algorithm is superior, particularly in terms of cluster head selection and node entry. |
| format | Article |
| id | doaj-art-e33dd9f70e5c4ce1b71de5d5dffa0d74 |
| institution | Matheson Library |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2024-10-01 |
| publisher | Harbin University of Science and Technology Publications |
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| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-e33dd9f70e5c4ce1b71de5d5dffa0d742025-07-07T02:57:39ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832024-10-0129051910.15938/j.jhust.2024.05.001An Improved LEACH Protocol for Optimizing Cluster Head Selection and In-cluster SelectionSHIBing0GAOZelin1SUNYueping2HUANJuan3SUNTao4School of Machinery and Rail Transit, Changzhou University, Changzhou 213164 , ChinaSchool of Machinery and Rail Transit, Changzhou University, Changzhou 213164 , ChinaSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013 , ChinaSchool of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164 , ChinaSchool of Machinery and Rail Transit, Changzhou University, Changzhou 213164 , ChinaThe LEACH protocol ′ s selection of cluster heads neglects critical factors such as node density, energy levels, and distance. This oversight can lead to the selection of low-energy cluster heads, resulting in premature aging across the entire network. To address this issue, an enhanced version of LEACH has been proposed. This protocol initially employs the root mean square (RMS) of distance within the energy consumption model to determine the optimal number of cluster heads. Additionally, it integrates a spacing operator , a residual energy operator, and a node density operator, all derived from energy consumption metrics, to refine the threshold function. Furthermore, in selecting nodes for cluster inclusion, three criteria are considered: the communication radius of each node, the energy available for allocation by the nodes within the cluster, and the distance between the cluster head and the base station. A cost function is subsequently established, allowing for the assignment of nodes to the appropriate cluster based on the calculated optimal value. Simulation experiments indicate that when network node mortality reaches 90% , the cycle numbers of LEACH-enhance increase by 69. 7% , 68. 3% , 33. 4% , and 30. 5% compared to LEACH-improve, LEACH-E, LEACH-OR, and LPLL-LEACH, respectively. Furthermore, these improvements confirm that the energy balance associated with the LEACH-enhance algorithm is superior, particularly in terms of cluster head selection and node entry.https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2361wireless sensor networkselection of cluster headimproved leachcycle of life |
| spellingShingle | SHIBing GAOZelin SUNYueping HUANJuan SUNTao An Improved LEACH Protocol for Optimizing Cluster Head Selection and In-cluster Selection Journal of Harbin University of Science and Technology wireless sensor network selection of cluster head improved leach cycle of life |
| title | An Improved LEACH Protocol for Optimizing Cluster Head Selection and In-cluster Selection |
| title_full | An Improved LEACH Protocol for Optimizing Cluster Head Selection and In-cluster Selection |
| title_fullStr | An Improved LEACH Protocol for Optimizing Cluster Head Selection and In-cluster Selection |
| title_full_unstemmed | An Improved LEACH Protocol for Optimizing Cluster Head Selection and In-cluster Selection |
| title_short | An Improved LEACH Protocol for Optimizing Cluster Head Selection and In-cluster Selection |
| title_sort | improved leach protocol for optimizing cluster head selection and in cluster selection |
| topic | wireless sensor network selection of cluster head improved leach cycle of life |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2361 |
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