An energy consumption optimization strategy for Wireless sensor networks via multi-objective algorithm
Deploying relay nodes is a significant mechanism to prolong the network lifetime of wireless sensor networks (WSNs). However, most existing studies overlook the energy consumption of relay nodes, leading to imperfections in the optimization process. Additionally, there is also a lack of analysis of...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157824000089 |
| _version_ | 1797322444019597312 |
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| author | Hao Zhang Mengjian Zhang Tao Qin Wei Wei Yuanchen Fan Jing Yang |
| author_facet | Hao Zhang Mengjian Zhang Tao Qin Wei Wei Yuanchen Fan Jing Yang |
| author_sort | Hao Zhang |
| collection | DOAJ |
| description | Deploying relay nodes is a significant mechanism to prolong the network lifetime of wireless sensor networks (WSNs). However, most existing studies overlook the energy consumption of relay nodes, leading to imperfections in the optimization process. Additionally, there is also a lack of analysis of conflicts between different optimization objectives. In this regard, a multi-objective antlion with fuzzy clustering algorithm (MOALO-FCM) is designed to obtain a better trade-off between different optimization objectives. And an adaptive membership function revision strategy is introduced to improve the energy balance of relay nodes. To verify the performance of the proposed algorithm, simulation experiments are set in 2-dimensional and 3-dimensional scenes with correlative algorithms, respectively. The main evaluation indexes include performance of Pareto optimal solution sets, the life cycle of network, the energy consumption of sensor nodes, the energy consumption of relay nodes, the number of living nodes, and the running time of algorithms. The results indicate that the proposed algorithm has better performance in various indexes. |
| first_indexed | 2024-03-08T05:14:26Z |
| format | Article |
| id | doaj.art-ba7b97d77fee4de7b5973f15cec2df94 |
| institution | Directory Open Access Journal |
| issn | 1319-1578 |
| language | English |
| last_indexed | 2024-03-08T05:14:26Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj.art-ba7b97d77fee4de7b5973f15cec2df942024-02-07T04:43:38ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782024-01-01361101919An energy consumption optimization strategy for Wireless sensor networks via multi-objective algorithmHao Zhang0Mengjian Zhang1Tao Qin2Wei Wei3Yuanchen Fan4Jing Yang5School of Electrical engineering, Guizhou University, Guiyang 550025, ChinaSchool of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, ChinaSchool of Electrical engineering, Guizhou University, Guiyang 550025, ChinaChina Power Construction Group Guizhou Electric Power Design and Research Institute Co., Ltd, Guiyang 550025, ChinaChina Power Construction Group Guizhou Engineering Co., Ltd, Guiyang550025, ChinaSchool of Electrical engineering, Guizhou University, Guiyang 550025, China; Guizhou Provincial Key Laboratory of Internet + Intelligent Manufacturing, Guiyang 550025, China; Corresponding author at: School of Electrical engineering, Guizhou University, Guiyang 550025, China.Deploying relay nodes is a significant mechanism to prolong the network lifetime of wireless sensor networks (WSNs). However, most existing studies overlook the energy consumption of relay nodes, leading to imperfections in the optimization process. Additionally, there is also a lack of analysis of conflicts between different optimization objectives. In this regard, a multi-objective antlion with fuzzy clustering algorithm (MOALO-FCM) is designed to obtain a better trade-off between different optimization objectives. And an adaptive membership function revision strategy is introduced to improve the energy balance of relay nodes. To verify the performance of the proposed algorithm, simulation experiments are set in 2-dimensional and 3-dimensional scenes with correlative algorithms, respectively. The main evaluation indexes include performance of Pareto optimal solution sets, the life cycle of network, the energy consumption of sensor nodes, the energy consumption of relay nodes, the number of living nodes, and the running time of algorithms. The results indicate that the proposed algorithm has better performance in various indexes.http://www.sciencedirect.com/science/article/pii/S1319157824000089Wireless sensor networksRelay nodeMOALOFCMPareto optimal solution |
| spellingShingle | Hao Zhang Mengjian Zhang Tao Qin Wei Wei Yuanchen Fan Jing Yang An energy consumption optimization strategy for Wireless sensor networks via multi-objective algorithm Journal of King Saud University: Computer and Information Sciences Wireless sensor networks Relay node MOALO FCM Pareto optimal solution |
| title | An energy consumption optimization strategy for Wireless sensor networks via multi-objective algorithm |
| title_full | An energy consumption optimization strategy for Wireless sensor networks via multi-objective algorithm |
| title_fullStr | An energy consumption optimization strategy for Wireless sensor networks via multi-objective algorithm |
| title_full_unstemmed | An energy consumption optimization strategy for Wireless sensor networks via multi-objective algorithm |
| title_short | An energy consumption optimization strategy for Wireless sensor networks via multi-objective algorithm |
| title_sort | energy consumption optimization strategy for wireless sensor networks via multi objective algorithm |
| topic | Wireless sensor networks Relay node MOALO FCM Pareto optimal solution |
| url | http://www.sciencedirect.com/science/article/pii/S1319157824000089 |
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