Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing
In public emergencies such as accident relief, rescue workers are faced with challenges, such as poor communication, unstable navigating, and inaccurate disaster sensing.It is necessary to deploy an emergency unmanned aerial vehicle (UAV) network to guarantee the services of communication-navigating...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2022-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022138/ |
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| _version_ | 1841539970711420928 |
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| author | Li WANG Qing WEI Lianming XU Yuan SHEN Ping ZHANG Aiguo FEI |
| author_facet | Li WANG Qing WEI Lianming XU Yuan SHEN Ping ZHANG Aiguo FEI |
| author_sort | Li WANG |
| collection | DOAJ |
| description | In public emergencies such as accident relief, rescue workers are faced with challenges, such as poor communication, unstable navigating, and inaccurate disaster sensing.It is necessary to deploy an emergency unmanned aerial vehicle (UAV) network to guarantee the services of communication-navigating-sensing.Aiming at alleviating the problem of limited energy of UAV, a low-energy-consumption deployment of an emergency UAV network was first proposed for integrated communication-navigating-sensing (ICNS).The proposed scheme was able to realize network topology reconstruction and role cognition on demand.Then, a particle swarm algorithm based hierarchical matching decision-making algorithm was presented to jointly optimize three sub-problems, including the associations between UAVs and users, the resource allocation for multi-role UAV communications, and the UAV position.Simulation results show that the proposed ICNS scheme can achieve flexible adaptation of the multi-objective requirements and limited network resources, and dramatically reduce the demand for the number of UAVs and the deployment energy consumption. |
| format | Article |
| id | doaj-art-53a3fafb7cd6493b8402e355c1007c80 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2022-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-53a3fafb7cd6493b8402e355c1007c802025-01-14T06:29:36ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2022-07-014312059394738Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensingLi WANGQing WEILianming XUYuan SHENPing ZHANGAiguo FEIIn public emergencies such as accident relief, rescue workers are faced with challenges, such as poor communication, unstable navigating, and inaccurate disaster sensing.It is necessary to deploy an emergency unmanned aerial vehicle (UAV) network to guarantee the services of communication-navigating-sensing.Aiming at alleviating the problem of limited energy of UAV, a low-energy-consumption deployment of an emergency UAV network was first proposed for integrated communication-navigating-sensing (ICNS).The proposed scheme was able to realize network topology reconstruction and role cognition on demand.Then, a particle swarm algorithm based hierarchical matching decision-making algorithm was presented to jointly optimize three sub-problems, including the associations between UAVs and users, the resource allocation for multi-role UAV communications, and the UAV position.Simulation results show that the proposed ICNS scheme can achieve flexible adaptation of the multi-objective requirements and limited network resources, and dramatically reduce the demand for the number of UAVs and the deployment energy consumption.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022138/emergency communicationUAV network deploymentintegrated communication-navigating-sensingwireless resource allocation |
| spellingShingle | Li WANG Qing WEI Lianming XU Yuan SHEN Ping ZHANG Aiguo FEI Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing Tongxin xuebao emergency communication UAV network deployment integrated communication-navigating-sensing wireless resource allocation |
| title | Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing |
| title_full | Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing |
| title_fullStr | Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing |
| title_full_unstemmed | Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing |
| title_short | Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing |
| title_sort | research on low energy consumption deployment of emergency uav network for integrated communication navigating sensing |
| topic | emergency communication UAV network deployment integrated communication-navigating-sensing wireless resource allocation |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022138/ |
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