Distributed high-efficiency entropy energy-saving clustering routing algorithm for SDWSN
In order to improve the life of software defined wireless sensor network (SDWSN) and reduce the energy consumption of data transmission, a hybrid optimization algorithm based on firefly algorithm (FA) and biogeography-based optimization (BBO) were designed, and based on the hybrid optimization algor...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2023-03-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023024/ |
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| author | Qiaoqiao MA Ligang DONG Xian JIANG |
| author_facet | Qiaoqiao MA Ligang DONG Xian JIANG |
| author_sort | Qiaoqiao MA |
| collection | DOAJ |
| description | In order to improve the life of software defined wireless sensor network (SDWSN) and reduce the energy consumption of data transmission, a hybrid optimization algorithm based on firefly algorithm (FA) and biogeography-based optimization (BBO) were designed, and based on the hybrid optimization algorithm, a distributed high-efficiency entropy energy-saving clustering routing algorithm (DHEEC) was designed, using energy entropy and hybrid optimization algorithm for cluster head selection.The simulation results show that the hybrid optimization algorithm outperforms other algorithms on standard functions.The number of death rounds of 10% nodes of DHEEC is about 13.89% higher than that of IFCEER, and about 41.05% higher than that of DEEC-FA, and the energy utilization is improved. |
| format | Article |
| id | doaj-art-30fb1fe0dc0c47f28203382ef7e4fe9f |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2023-03-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-30fb1fe0dc0c47f28203382ef7e4fe9f2025-01-15T02:58:57ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012023-03-013910011459569832Distributed high-efficiency entropy energy-saving clustering routing algorithm for SDWSNQiaoqiao MALigang DONGXian JIANGIn order to improve the life of software defined wireless sensor network (SDWSN) and reduce the energy consumption of data transmission, a hybrid optimization algorithm based on firefly algorithm (FA) and biogeography-based optimization (BBO) were designed, and based on the hybrid optimization algorithm, a distributed high-efficiency entropy energy-saving clustering routing algorithm (DHEEC) was designed, using energy entropy and hybrid optimization algorithm for cluster head selection.The simulation results show that the hybrid optimization algorithm outperforms other algorithms on standard functions.The number of death rounds of 10% nodes of DHEEC is about 13.89% higher than that of IFCEER, and about 41.05% higher than that of DEEC-FA, and the energy utilization is improved.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023024/cluster routingfirefly algorithmbiogeographic-based optimizationenergy efficiency |
| spellingShingle | Qiaoqiao MA Ligang DONG Xian JIANG Distributed high-efficiency entropy energy-saving clustering routing algorithm for SDWSN Dianxin kexue cluster routing firefly algorithm biogeographic-based optimization energy efficiency |
| title | Distributed high-efficiency entropy energy-saving clustering routing algorithm for SDWSN |
| title_full | Distributed high-efficiency entropy energy-saving clustering routing algorithm for SDWSN |
| title_fullStr | Distributed high-efficiency entropy energy-saving clustering routing algorithm for SDWSN |
| title_full_unstemmed | Distributed high-efficiency entropy energy-saving clustering routing algorithm for SDWSN |
| title_short | Distributed high-efficiency entropy energy-saving clustering routing algorithm for SDWSN |
| title_sort | distributed high efficiency entropy energy saving clustering routing algorithm for sdwsn |
| topic | cluster routing firefly algorithm biogeographic-based optimization energy efficiency |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2023024/ |
| work_keys_str_mv | AT qiaoqiaoma distributedhighefficiencyentropyenergysavingclusteringroutingalgorithmforsdwsn AT ligangdong distributedhighefficiencyentropyenergysavingclusteringroutingalgorithmforsdwsn AT xianjiang distributedhighefficiencyentropyenergysavingclusteringroutingalgorithmforsdwsn |