Research on the Multiobjective Optimization of Microwave Wireless Power Receiving in an Unmanned Aerial Vehicle Network
With the wide application of various wireless energy transmission technologies and unmanned aerial vehicle clusters in both production and life, the use of microwave wireless energy transmission to provide a real-time energy supply for an unmanned aerial vehicle network in flight has become an effec...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8882528 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832550105215926272 |
|---|---|
| author | Yuanming Song Yajie Liu Wanli Xu Xu Yang Rui Wang |
| author_facet | Yuanming Song Yajie Liu Wanli Xu Xu Yang Rui Wang |
| author_sort | Yuanming Song |
| collection | DOAJ |
| description | With the wide application of various wireless energy transmission technologies and unmanned aerial vehicle clusters in both production and life, the use of microwave wireless energy transmission to provide a real-time energy supply for an unmanned aerial vehicle network in flight has become an effective way to extend its working time. This paper focuses on the optimization of the energy transmission efficiency and cost in the microwave wireless power receiving process of an unmanned aerial vehicle network. Considering the overall energy transmission efficiency from the power supply terminal to the power receiving network and the cost of the wireless power transmission equipment of the network, we have established a multiobjective wireless power receiving optimization model including a microwave energy emission source and an unmanned aerial vehicle network that receives energy. The model is optimized to select the best wireless power access point and the number of wireless power receiving modules in a network node. In the case study, the optimization model is solved using an evolutionary algorithm, and the solution results verify the effectiveness and correctness of the model. |
| format | Article |
| id | doaj-art-e8256672069647d6a1fca1b1bf88a41a |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-e8256672069647d6a1fca1b1bf88a41a2025-02-03T06:07:41ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/88825288882528Research on the Multiobjective Optimization of Microwave Wireless Power Receiving in an Unmanned Aerial Vehicle NetworkYuanming Song0Yajie Liu1Wanli Xu2Xu Yang3Rui Wang4College of Systems Engineering, National University of Defense Technology, Changsha, Hunan 410073, ChinaCollege of Systems Engineering, National University of Defense Technology, Changsha, Hunan 410073, ChinaInstitute of Systems Engineering, Academy of Military Sciences, Beijing 100091, ChinaCollege of Systems Engineering, National University of Defense Technology, Changsha, Hunan 410073, ChinaCollege of Systems Engineering, National University of Defense Technology, Changsha, Hunan 410073, ChinaWith the wide application of various wireless energy transmission technologies and unmanned aerial vehicle clusters in both production and life, the use of microwave wireless energy transmission to provide a real-time energy supply for an unmanned aerial vehicle network in flight has become an effective way to extend its working time. This paper focuses on the optimization of the energy transmission efficiency and cost in the microwave wireless power receiving process of an unmanned aerial vehicle network. Considering the overall energy transmission efficiency from the power supply terminal to the power receiving network and the cost of the wireless power transmission equipment of the network, we have established a multiobjective wireless power receiving optimization model including a microwave energy emission source and an unmanned aerial vehicle network that receives energy. The model is optimized to select the best wireless power access point and the number of wireless power receiving modules in a network node. In the case study, the optimization model is solved using an evolutionary algorithm, and the solution results verify the effectiveness and correctness of the model.http://dx.doi.org/10.1155/2020/8882528 |
| spellingShingle | Yuanming Song Yajie Liu Wanli Xu Xu Yang Rui Wang Research on the Multiobjective Optimization of Microwave Wireless Power Receiving in an Unmanned Aerial Vehicle Network Complexity |
| title | Research on the Multiobjective Optimization of Microwave Wireless Power Receiving in an Unmanned Aerial Vehicle Network |
| title_full | Research on the Multiobjective Optimization of Microwave Wireless Power Receiving in an Unmanned Aerial Vehicle Network |
| title_fullStr | Research on the Multiobjective Optimization of Microwave Wireless Power Receiving in an Unmanned Aerial Vehicle Network |
| title_full_unstemmed | Research on the Multiobjective Optimization of Microwave Wireless Power Receiving in an Unmanned Aerial Vehicle Network |
| title_short | Research on the Multiobjective Optimization of Microwave Wireless Power Receiving in an Unmanned Aerial Vehicle Network |
| title_sort | research on the multiobjective optimization of microwave wireless power receiving in an unmanned aerial vehicle network |
| url | http://dx.doi.org/10.1155/2020/8882528 |
| work_keys_str_mv | AT yuanmingsong researchonthemultiobjectiveoptimizationofmicrowavewirelesspowerreceivinginanunmannedaerialvehiclenetwork AT yajieliu researchonthemultiobjectiveoptimizationofmicrowavewirelesspowerreceivinginanunmannedaerialvehiclenetwork AT wanlixu researchonthemultiobjectiveoptimizationofmicrowavewirelesspowerreceivinginanunmannedaerialvehiclenetwork AT xuyang researchonthemultiobjectiveoptimizationofmicrowavewirelesspowerreceivinginanunmannedaerialvehiclenetwork AT ruiwang researchonthemultiobjectiveoptimizationofmicrowavewirelesspowerreceivinginanunmannedaerialvehiclenetwork |