Load Balancing Routing Algorithm Based on Genetic Optimization and Artificial Bee Colony in LEO Satellite Network
The LEO satellite network become a powerful complement to the terrestrial network as it shows the advantage of low latency, low cost, low loss rate and global coverage.However, due to the uneven distribution of users and the variation of network traffic over time, some links may be congested and unb...
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| Format: | Article |
| Language: | zho |
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Post&Telecom Press Co.,LTD
2024-06-01
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| Series: | 天地一体化信息网络 |
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| Online Access: | http://www.j-sigin.com.cn/zh/article/doi/10.11959/j.issn.2096-8930.2024012/ |
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| _version_ | 1841533863497564160 |
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| author | Xia DENG Miaomiao HAO Wucheng LIN |
| author_facet | Xia DENG Miaomiao HAO Wucheng LIN |
| author_sort | Xia DENG |
| collection | DOAJ |
| description | The LEO satellite network become a powerful complement to the terrestrial network as it shows the advantage of low latency, low cost, low loss rate and global coverage.However, due to the uneven distribution of users and the variation of network traffic over time, some links may be congested and unbalanced.A load balancing routing algorithm based on genetic optimization and artificial bee colony in LEO satellite networks(GABC) was proposed, which combined genetic algorithm with artificial bee colony algorithm to avoid local optimization.Experimental results showed that compared with the shortest path routing and LBRA-CP algorithm, the proposed algorithm has higher data transmission rate and throughput with lower delay and overhead ratio. |
| format | Article |
| id | doaj-art-07eba84078434a06abf2fadcf797272f |
| institution | Kabale University |
| issn | 2096-8930 |
| language | zho |
| publishDate | 2024-06-01 |
| publisher | Post&Telecom Press Co.,LTD |
| record_format | Article |
| series | 天地一体化信息网络 |
| spelling | doaj-art-07eba84078434a06abf2fadcf797272f2025-01-15T02:48:50ZzhoPost&Telecom Press Co.,LTD天地一体化信息网络2096-89302024-06-015132266632188Load Balancing Routing Algorithm Based on Genetic Optimization and Artificial Bee Colony in LEO Satellite NetworkXia DENGMiaomiao HAOWucheng LINThe LEO satellite network become a powerful complement to the terrestrial network as it shows the advantage of low latency, low cost, low loss rate and global coverage.However, due to the uneven distribution of users and the variation of network traffic over time, some links may be congested and unbalanced.A load balancing routing algorithm based on genetic optimization and artificial bee colony in LEO satellite networks(GABC) was proposed, which combined genetic algorithm with artificial bee colony algorithm to avoid local optimization.Experimental results showed that compared with the shortest path routing and LBRA-CP algorithm, the proposed algorithm has higher data transmission rate and throughput with lower delay and overhead ratio.http://www.j-sigin.com.cn/zh/article/doi/10.11959/j.issn.2096-8930.2024012/LEO satellite networkartificial bee colony algorithmgenetic optimization algorithm |
| spellingShingle | Xia DENG Miaomiao HAO Wucheng LIN Load Balancing Routing Algorithm Based on Genetic Optimization and Artificial Bee Colony in LEO Satellite Network 天地一体化信息网络 LEO satellite network artificial bee colony algorithm genetic optimization algorithm |
| title | Load Balancing Routing Algorithm Based on Genetic Optimization and Artificial Bee Colony in LEO Satellite Network |
| title_full | Load Balancing Routing Algorithm Based on Genetic Optimization and Artificial Bee Colony in LEO Satellite Network |
| title_fullStr | Load Balancing Routing Algorithm Based on Genetic Optimization and Artificial Bee Colony in LEO Satellite Network |
| title_full_unstemmed | Load Balancing Routing Algorithm Based on Genetic Optimization and Artificial Bee Colony in LEO Satellite Network |
| title_short | Load Balancing Routing Algorithm Based on Genetic Optimization and Artificial Bee Colony in LEO Satellite Network |
| title_sort | load balancing routing algorithm based on genetic optimization and artificial bee colony in leo satellite network |
| topic | LEO satellite network artificial bee colony algorithm genetic optimization algorithm |
| url | http://www.j-sigin.com.cn/zh/article/doi/10.11959/j.issn.2096-8930.2024012/ |
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