A distributed strategy for the multi-target rescue using a UAV swarm under communication constraints
The current designs of the cooperative decision-making of an unmanned aerial vehicle (UAV) swarm usually adopt unreasonable assumptions on the communication ability between UAVs.Focusing on a multi-target rescue problem of a UAV swarm under constraints of energy, load and path, the limitation on the...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2022-09-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00284/ |
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| _version_ | 1841533793390821376 |
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| author | Hanqing YU Yan LIN Linqiong JIA Qiang LI Yijin Zhang |
| author_facet | Hanqing YU Yan LIN Linqiong JIA Qiang LI Yijin Zhang |
| author_sort | Hanqing YU |
| collection | DOAJ |
| description | The current designs of the cooperative decision-making of an unmanned aerial vehicle (UAV) swarm usually adopt unreasonable assumptions on the communication ability between UAVs.Focusing on a multi-target rescue problem of a UAV swarm under constraints of energy, load and path, the limitation on the information sharing due to the communication constraints and the flight path of UAVs were taken into account.Firstly, the problem was formulated as a partially observable Markov decision process (POMDP).Then, a recurrent neural network was used to propose a deep-reinforcement-learning-based distributed rescue strategy, which is able to adapt to the changeable communication topology.Simulation results show that the proposed strategy outperforms other strategies under communication constraints, and further show that a careful joint setting of the size and communication ability of a UAV swarm is needed to achieve the best compromise between the UAV swarm rescue performance and the cost. |
| format | Article |
| id | doaj-art-2f59cb74c9f64b73b5b59a14355f5402 |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2022-09-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-2f59cb74c9f64b73b5b59a14355f54022025-01-15T02:53:48ZzhoChina InfoCom Media Group物联网学报2096-37502022-09-01610311259651035A distributed strategy for the multi-target rescue using a UAV swarm under communication constraintsHanqing YUYan LINLinqiong JIAQiang LIYijin ZhangThe current designs of the cooperative decision-making of an unmanned aerial vehicle (UAV) swarm usually adopt unreasonable assumptions on the communication ability between UAVs.Focusing on a multi-target rescue problem of a UAV swarm under constraints of energy, load and path, the limitation on the information sharing due to the communication constraints and the flight path of UAVs were taken into account.Firstly, the problem was formulated as a partially observable Markov decision process (POMDP).Then, a recurrent neural network was used to propose a deep-reinforcement-learning-based distributed rescue strategy, which is able to adapt to the changeable communication topology.Simulation results show that the proposed strategy outperforms other strategies under communication constraints, and further show that a careful joint setting of the size and communication ability of a UAV swarm is needed to achieve the best compromise between the UAV swarm rescue performance and the cost.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00284/unmanned aerial vehiclemulti-target rescueMarkov decision processdistributed strategyreinforcement learning |
| spellingShingle | Hanqing YU Yan LIN Linqiong JIA Qiang LI Yijin Zhang A distributed strategy for the multi-target rescue using a UAV swarm under communication constraints 物联网学报 unmanned aerial vehicle multi-target rescue Markov decision process distributed strategy reinforcement learning |
| title | A distributed strategy for the multi-target rescue using a UAV swarm under communication constraints |
| title_full | A distributed strategy for the multi-target rescue using a UAV swarm under communication constraints |
| title_fullStr | A distributed strategy for the multi-target rescue using a UAV swarm under communication constraints |
| title_full_unstemmed | A distributed strategy for the multi-target rescue using a UAV swarm under communication constraints |
| title_short | A distributed strategy for the multi-target rescue using a UAV swarm under communication constraints |
| title_sort | distributed strategy for the multi target rescue using a uav swarm under communication constraints |
| topic | unmanned aerial vehicle multi-target rescue Markov decision process distributed strategy reinforcement learning |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00284/ |
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