面向通信-导航-感知一体化的应急无人机网络低能耗部署研究

王莉; 魏青; 徐连明; 沈渊; 张平; 费爱国

doi:10.11959/j.issn.1000-436x.2022138

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面向通信-导航-感知一体化的应急无人机网络低能耗部署研究

学术论文 | 更新时间：2024-06-05

- 面向通信-导航-感知一体化的应急无人机网络低能耗部署研究
- Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing
- 通信学报 2022年43卷第7期页码：1-20
- 作者机构：
  
  1. 北京邮电大学计算机学院（国家示范性软件学院），北京 100876
  2. 北京邮电大学电子工程学院，北京 100876
  3. 清华大学电子工程系，北京 100084
  4. 北京邮电大学信息与通信工程学院，北京 100876
- 作者简介：
  
  [ "王莉（1982- ），女，河南濮阳人，博士，北京邮电大学教授、博士生导师，主要研究方向为应急通信、能源互联网、边缘智能等" ]
  [ "魏青（1993- ），女，湖北恩施人，北京邮电大学博士生，主要研究方向为应急通信、车载通信网络等" ]
  [ "徐连明（1981- ），男，山东潍坊人，博士，北京邮电大学讲师，主要研究方向为通导组网、边缘网络、定位导航等" ]
  [ "沈渊（1982- ），男，上海人，博士，清华大学教授、博士生导师，主要研究方向为定位感知、智能协同系统和生物结构解析等" ]
  [ "张平（1959- ），男，陕西汉中人，博士，中国工程院院士，北京邮电大学教授、博士生导师，主要研究方向为先进移动通信系统等" ]
  [ "费爱国（1955- ），男，江苏涟水人，博士，中国工程院院士，北京邮电大学教授、博士生导师，主要研究方向为指挥信息系统和数据链技术等" ]
- 基金信息：
  
  国家重点研发计划基金资助项目(2020YFC1511801);国家自然科学基金资助项目(U2066201);国家自然科学基金资助项目(62171054);北京市自然科学基金资助项目(L192030)
- DOI：10.11959/j.issn.1000-436x.2022138
  中图分类号： TN92
- 网络首发：2022-06，
  
  纸质出版：2022-07-25
- 稿件说明：
移动端阅览
王莉, 魏青, 徐连明, 等. 面向通信-导航-感知一体化的应急无人机网络低能耗部署研究[J]. 通信学报, 2022,43(7):1-20.

Li WANG, Qing WEI, Lianming XU, et al. Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing[J]. Journal on Communications, 2022, 43(7): 1-20.
王莉, 魏青, 徐连明, 等. 面向通信-导航-感知一体化的应急无人机网络低能耗部署研究[J]. 通信学报, 2022,43(7):1-20. DOI： 10.11959/j.issn.1000-436x.2022138.

Li WANG, Qing WEI, Lianming XU, et al. Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing[J]. Journal on Communications, 2022, 43(7): 1-20. DOI： 10.11959/j.issn.1000-436x.2022138.

摘要

在事故灾难救援等突发公共事件中，救援人员往往面临通信传输不畅、定位导航不稳、灾情感知不准的问题，亟须部署一套应急无人机网络，对受灾地区进行通信、导航、感知服务补盲。针对无人机续航能力受限的问题，首先提出了一套网络拓扑可重构、节点角色可切换的通信-导航-感知一体化应急无人机网络低能耗部署方案，然后设计了一种基于粒子群算法的层次化匹配决策算法，联合求解无人机与通导感用户关联、多角色无人机通信资源分配以及无人机位置这3个子问题。仿真表明，所提方案能够实现通导感多目标需求与受限网络资源的灵活适配，极大降低了对无人机数量的需求与部署能耗。

Abstract

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.

关键词

Keywords

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