Research on Wireless Sensor Network Coverage Path Optimization Based on Biogeography-Based Optimization Algorithm
Path selection is one of the key technologies of wireless sensor network (WSN). A reasonable choice of coverage path can improve the service quality of WSN and extend the life cycle of WSN. Biogeography-based optimization (BBO) is widely used in the field of cluster intelligent optimization because...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/7826132 |
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| _version_ | 1832568493819559936 |
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| author | Guojun Chen Xiangdong Qin Ningsheng Fang Wenbo Xu |
| author_facet | Guojun Chen Xiangdong Qin Ningsheng Fang Wenbo Xu |
| author_sort | Guojun Chen |
| collection | DOAJ |
| description | Path selection is one of the key technologies of wireless sensor network (WSN). A reasonable choice of coverage path can improve the service quality of WSN and extend the life cycle of WSN. Biogeography-based optimization (BBO) is widely used in the field of cluster intelligent optimization because its search method has a better incentive mechanism for population evolution. In this paper, the move-in and move-out operation and mutation operation of the BBO algorithm enable WSN to find an efficient routing path. In this paper, simulation experiments are carried out in two scenarios of regular deployment and random deployment of WSN nodes. The experimental results show that the quality of the WSN coverage path solution optimized by the BBO algorithm in the two scenarios is better than that of the particle swarm algorithm and genetic algorithm. |
| format | Article |
| id | doaj-art-47e3eab8ac924ec2b3ea93a3fc28457b |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-47e3eab8ac924ec2b3ea93a3fc28457b2025-02-03T00:58:58ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/78261327826132Research on Wireless Sensor Network Coverage Path Optimization Based on Biogeography-Based Optimization AlgorithmGuojun Chen0Xiangdong Qin1Ningsheng Fang2Wenbo Xu3College of Computer Internet of Things Engineering, Wuxi Taihu University, Wuxi 214064, ChinaCollege of Computer Internet of Things Engineering, Wuxi Taihu University, Wuxi 214064, ChinaCollege of Computer Internet of Things Engineering, Wuxi Taihu University, Wuxi 214064, ChinaSchool of Internet of Things Engineering, Jiangnan University, Wuxi 214122, ChinaPath selection is one of the key technologies of wireless sensor network (WSN). A reasonable choice of coverage path can improve the service quality of WSN and extend the life cycle of WSN. Biogeography-based optimization (BBO) is widely used in the field of cluster intelligent optimization because its search method has a better incentive mechanism for population evolution. In this paper, the move-in and move-out operation and mutation operation of the BBO algorithm enable WSN to find an efficient routing path. In this paper, simulation experiments are carried out in two scenarios of regular deployment and random deployment of WSN nodes. The experimental results show that the quality of the WSN coverage path solution optimized by the BBO algorithm in the two scenarios is better than that of the particle swarm algorithm and genetic algorithm.http://dx.doi.org/10.1155/2021/7826132 |
| spellingShingle | Guojun Chen Xiangdong Qin Ningsheng Fang Wenbo Xu Research on Wireless Sensor Network Coverage Path Optimization Based on Biogeography-Based Optimization Algorithm Complexity |
| title | Research on Wireless Sensor Network Coverage Path Optimization Based on Biogeography-Based Optimization Algorithm |
| title_full | Research on Wireless Sensor Network Coverage Path Optimization Based on Biogeography-Based Optimization Algorithm |
| title_fullStr | Research on Wireless Sensor Network Coverage Path Optimization Based on Biogeography-Based Optimization Algorithm |
| title_full_unstemmed | Research on Wireless Sensor Network Coverage Path Optimization Based on Biogeography-Based Optimization Algorithm |
| title_short | Research on Wireless Sensor Network Coverage Path Optimization Based on Biogeography-Based Optimization Algorithm |
| title_sort | research on wireless sensor network coverage path optimization based on biogeography based optimization algorithm |
| url | http://dx.doi.org/10.1155/2021/7826132 |
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