Enhanced zebra optimization algorithm and applications of power allocation in SDWN
To address the issue of interference caused by shared resources in multi-user communications in software defined wireless network (SDWN), an enhanced zebra optimization algorithm (EZOA) was proposed to achieve power allocation that maximizes the secrecy rate. By introducing exploration factors and p...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2025-01-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2025017/ |
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| _version_ | 1823864703066046464 |
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| author | LI Jiajia DONG Ligang JIANG Xian |
| author_facet | LI Jiajia DONG Ligang JIANG Xian |
| author_sort | LI Jiajia |
| collection | DOAJ |
| description | To address the issue of interference caused by shared resources in multi-user communications in software defined wireless network (SDWN), an enhanced zebra optimization algorithm (EZOA) was proposed to achieve power allocation that maximizes the secrecy rate. By introducing exploration factors and perturbation parameters into the zebra optimization algorithm, EZOA enhanced global search and local exploitation capabilities, while also improving the foraging strategy to increase algorithm diversity. Experimental results demonstrate that EZOA exhibits superior competitiveness compared to six other well-established algorithms on the IEEE CEC 2014 benchmark function set. In the SDWN power allocation problem, EZOA achieves an average improvement of 5.46% in user secrecy rate and the fastest convergence speed compared to five other algorithms. |
| format | Article |
| id | doaj-art-9d4a764ae78c449d85d866bda117d535 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2025-01-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-9d4a764ae78c449d85d866bda117d5352025-02-08T19:00:24ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012025-01-014114816382011911Enhanced zebra optimization algorithm and applications of power allocation in SDWNLI JiajiaDONG LigangJIANG XianTo address the issue of interference caused by shared resources in multi-user communications in software defined wireless network (SDWN), an enhanced zebra optimization algorithm (EZOA) was proposed to achieve power allocation that maximizes the secrecy rate. By introducing exploration factors and perturbation parameters into the zebra optimization algorithm, EZOA enhanced global search and local exploitation capabilities, while also improving the foraging strategy to increase algorithm diversity. Experimental results demonstrate that EZOA exhibits superior competitiveness compared to six other well-established algorithms on the IEEE CEC 2014 benchmark function set. In the SDWN power allocation problem, EZOA achieves an average improvement of 5.46% in user secrecy rate and the fastest convergence speed compared to five other algorithms.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2025017/SDWNmeta-heuristic algorithmpower allocationsecrecy rateconvergence speed |
| spellingShingle | LI Jiajia DONG Ligang JIANG Xian Enhanced zebra optimization algorithm and applications of power allocation in SDWN Dianxin kexue SDWN meta-heuristic algorithm power allocation secrecy rate convergence speed |
| title | Enhanced zebra optimization algorithm and applications of power allocation in SDWN |
| title_full | Enhanced zebra optimization algorithm and applications of power allocation in SDWN |
| title_fullStr | Enhanced zebra optimization algorithm and applications of power allocation in SDWN |
| title_full_unstemmed | Enhanced zebra optimization algorithm and applications of power allocation in SDWN |
| title_short | Enhanced zebra optimization algorithm and applications of power allocation in SDWN |
| title_sort | enhanced zebra optimization algorithm and applications of power allocation in sdwn |
| topic | SDWN meta-heuristic algorithm power allocation secrecy rate convergence speed |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2025017/ |
| work_keys_str_mv | AT lijiajia enhancedzebraoptimizationalgorithmandapplicationsofpowerallocationinsdwn AT dongligang enhancedzebraoptimizationalgorithmandapplicationsofpowerallocationinsdwn AT jiangxian enhancedzebraoptimizationalgorithmandapplicationsofpowerallocationinsdwn |