Intelligent route planning method with jointing topology control of UAV swarm
Existing routing protocols without awareness of the topology causes excessive retransmissions, energy holes, and long delay, data routing performance was seriously deteriorated.Considering the relation of topology and routing, an intelligent route planning with jointing topology control (IRPJTC) met...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2024-02-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024032/ |
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| author | Zhi YAN Zhenglun YI Bo OUYANG Yaonan WANG |
| author_facet | Zhi YAN Zhenglun YI Bo OUYANG Yaonan WANG |
| author_sort | Zhi YAN |
| collection | DOAJ |
| description | Existing routing protocols without awareness of the topology causes excessive retransmissions, energy holes, and long delay, data routing performance was seriously deteriorated.Considering the relation of topology and routing, an intelligent route planning with jointing topology control (IRPJTC) method was proposed.IRPJTC consisted of two part, the virtual force-based adaptive topology control (VFATC), and the PPO-based geographic routing protocol (PPO-GRP).Based on neighbor’s mobility information, the distance between UAVs was adaptively adjusted by VFATC to provide stable links between UAVs.Combined with link stability metric in VFATC, end-to-end delay and energy consumption, a multi-objective reward function was designed by PPO-GRP to train optimal routing strategy.According to the performance study, the proposed IRPJTC reduces existing routing protocols by 12.11% of end-to-end delay, and 4.56% of energy consumption, and has a better energy balance ability. |
| format | Article |
| id | doaj-art-285eaa0606e7439d898e7265c426a686 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2024-02-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-285eaa0606e7439d898e7265c426a6862025-01-14T06:22:06ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-02-014513714959383374Intelligent route planning method with jointing topology control of UAV swarmZhi YANZhenglun YIBo OUYANGYaonan WANGExisting routing protocols without awareness of the topology causes excessive retransmissions, energy holes, and long delay, data routing performance was seriously deteriorated.Considering the relation of topology and routing, an intelligent route planning with jointing topology control (IRPJTC) method was proposed.IRPJTC consisted of two part, the virtual force-based adaptive topology control (VFATC), and the PPO-based geographic routing protocol (PPO-GRP).Based on neighbor’s mobility information, the distance between UAVs was adaptively adjusted by VFATC to provide stable links between UAVs.Combined with link stability metric in VFATC, end-to-end delay and energy consumption, a multi-objective reward function was designed by PPO-GRP to train optimal routing strategy.According to the performance study, the proposed IRPJTC reduces existing routing protocols by 12.11% of end-to-end delay, and 4.56% of energy consumption, and has a better energy balance ability.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024032/UAV swarmrouting protocoltopology controlproximal policy optimizationdeep reinforcement learning |
| spellingShingle | Zhi YAN Zhenglun YI Bo OUYANG Yaonan WANG Intelligent route planning method with jointing topology control of UAV swarm Tongxin xuebao UAV swarm routing protocol topology control proximal policy optimization deep reinforcement learning |
| title | Intelligent route planning method with jointing topology control of UAV swarm |
| title_full | Intelligent route planning method with jointing topology control of UAV swarm |
| title_fullStr | Intelligent route planning method with jointing topology control of UAV swarm |
| title_full_unstemmed | Intelligent route planning method with jointing topology control of UAV swarm |
| title_short | Intelligent route planning method with jointing topology control of UAV swarm |
| title_sort | intelligent route planning method with jointing topology control of uav swarm |
| topic | UAV swarm routing protocol topology control proximal policy optimization deep reinforcement learning |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024032/ |
| work_keys_str_mv | AT zhiyan intelligentrouteplanningmethodwithjointingtopologycontrolofuavswarm AT zhenglunyi intelligentrouteplanningmethodwithjointingtopologycontrolofuavswarm AT boouyang intelligentrouteplanningmethodwithjointingtopologycontrolofuavswarm AT yaonanwang intelligentrouteplanningmethodwithjointingtopologycontrolofuavswarm |