Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing

Li WANG; Qing WEI; Lianming XU; Yuan SHEN; Ping ZHANG; Aiguo FEI

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

您当前的位置：

首页 >

文章列表页 >

Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing

Papers | 更新时间：2024-06-05

- Research on low-energy-consumption deployment of emergency UAV network for integrated communication-navigating-sensing
- Journal on Communications Vol. 43, Issue 7, Pages: 1-20(2022)
- 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：
- 基金信息：
  
  The National Key Research and Development Program of China(2020YFC1511801);The National Natural Science Foundation of China(U2066201);The National Natural Science Foundation of China(62171054);The Beijing Natural Science Foundation(L192030)
- DOI：10.11959/j.issn.1000-436x.2022138
  CLC： TN92
- Online First：2022-06，
  
  Published：25 July 2022
- 稿件说明：
移动端阅览
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：

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

references

MASE K . How to deliver your message from/to a disaster area [J ] . IEEE Communications Magazine , 2011 , 49 ( 1 ): 52 - 57 .

MUKHERJEE B , HABIB M F , DIKBIYIK F . Network adaptability from disaster disruptions and cascading failures [J ] . IEEE Communications Magazine , 2014 , 52 ( 5 ): 230 - 238 .

MOZAFFARI M , SAAD W , BENNIS M , et al . Efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage [J ] . IEEE Communications Letters , 2016 , 20 ( 8 ): 1647 - 1650 .

ALZENAD M , EL-KEYI A , LAGUM F , et al . 3-D placement of an unmanned aerial vehicle base station (UAV-BS) for energy-efficient maximal coverage [J ] . IEEE Wireless Communications Letters , 2017 , 6 ( 4 ): 434 - 437 .

ARAFAT M Y , MOH S . Localization and clustering based on swarm intelligence in UAV networks for emergency communications [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 5 ): 8958 - 8976 .

ATIF M , AHMAD R , AHMAD W , et al . UAV-assisted wireless localization for search and rescue [J ] . IEEE Systems Journal , 2021 , 15 ( 3 ): 3261 - 3272 .

HU J Z , ZHANG H L , SONG L Y . Reinforcement learning for decentralized trajectory design in cellular UAV networks with sense-and-send protocol [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 4 ): 6177 - 6189 .

MENG K T , LI D S , HE X F , et al . Space pruning based time minimization in delay constrained multi-task UAV-based sensing [J ] . IEEE Transactions on Vehicular Technology , 2021 , 70 ( 3 ): 2836 - 2849 .

ZHANG S H , ZHANG H L , HAN Z , et al . Age of information in a cellular Internet of UAVs:sensing and communication trade-off design [J ] . IEEE Transactions on Wireless Communications , 2020 , 19 ( 10 ): 6578 - 6592 .

CHEN X , FENG Z Y , WEI Z Q , et al . Performance of joint sensing-communication cooperative sensing UAV network [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 12 ): 15545 - 15556 .

ZHAO Y , LI Z , CHENG N , et al . Joint UAV position and power optimization for accurate regional localization in space-air integrated localization network [J ] . IEEE Internet of Things Journal , 2021 , 8 ( 6 ): 4841 - 4854 .

SHEN Y , WYMEERSCH H , WIN M Z . Fundamental limits of wideband localization—part II:cooperative networks [J ] . IEEE Transactions on Information Theory , 2010 , 56 ( 10 ): 4981 - 5000 .

WAN P W , HUANG Q D , LU G Y , et al . Passive localization of signal source based on UAVs in complex environment [J ] . China Communications , 2020 , 17 ( 2 ): 107 - 116 .

LONG T , OZGER M , CETINKAYA O , et al . Energy neutral Internet of drones [J ] . IEEE Communications Magazine , 2018 , 56 ( 1 ): 22 - 28 .

BAI B , WANG L , HAN Z , et al . Caching based socially-aware D2D communications in wireless content delivery networks:a hypergraph framework [J ] . IEEE Wireless Communications , 2016 , 23 ( 4 ): 74 - 81 .

DAI Z C , WANG G , JIN X P , et al . Nearly optimal sensor selection for TDOA-based source localization in wireless sensor networks [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 10 ): 12031 - 12042 .

TORRIERI D J . Statistical theory of passive location systems [J ] . IEEE Transactions on Aerospace and Electronic Systems , 1984 , 20 ( 2 ): 183 - 198 .

ZHANG S H , ZHANG H L , DI B Y , et al . Joint trajectory and power optimization for UAV sensing over cellular networks [J ] . IEEE Communications Letters , 2018 , 22 ( 11 ): 2382 - 2385 .

SUN S , ZHANG G P , MEI H B , et al . Optimizing multi-UAV deployment in 3-D space to minimize task completion time in UAV-enabled mobile edge computing systems [J ] . IEEE Communications Letters , 2021 , 25 ( 2 ): 579 - 583 .

ZENG Y , XU J , ZHANG R . Energy minimization for wireless communication with rotary-wing UAV [J ] . IEEE Transactions on Wireless Communications , 2019 , 18 ( 4 ): 2329 - 2345 .

SOHAIL M F , LEOW C Y , WON S . Energy-efficient non-orthogonal multiple access for UAV communication system [J ] . IEEE Transactions on Vehicular Technology , 2019 , 68 ( 11 ): 10834 - 10845 .

WANG L , GUAN M L , AI Y T , et al . Beamforming-aided NOMA expedites collaborative multiuser computational offloading [J ] . IEEE Transactions on Vehicular Technology , 2018 , 67 ( 10 ): 10027 - 10032 .

夏伟 . 多站无源时差定位系统布站方法研究 [D ] . 西安:西安电子科技大学 , 2019 .

XIA W . Stations distribution study of passive time difference localization system using multiple sensors [D ] . Xi’an:Xidian University , 2019 .

3GPP . Technical specification group core network and terminals;control plane location services (LCS) procedures in the evolved packet system (EPS),Release 16 [S ] . 3GPP TS 24.171 , 2020 .

BOYD S , VANDENBERGHE L . Convex optimization [M ] . Cambridge : Cambridge University Press , 2004 .

KUHN H W . The Hungarian method for the assignment problem [J ] . Naval Research Logistics Quarterly , 1955 , 2 ( 1/2 ): 83 - 97 .

VALLE Y D , VENAYAGAMOORTHY G K , MOHAGHEGHI S , et al . Particle swarm optimization:basic concepts,variants and applications in power systems [J ] . IEEE Transactions on Evolutionary Computation , 2008 , 12 ( 2 ): 171 - 195 .

LIANG B , HAAS Z J . Predictive distance-based mobility management for multidimensional PCS networks [J ] . IEEE/ACM Transactions on Networking , 2003 , 11 ( 5 ): 718 - 732 .

AL-HOURANI A , KANDEEPAN S , JAMALIPOUR A . Modeling air-to-ground path loss for low altitude platforms in urban environments [C ] // Proceedings of 2014 IEEE Global Communications Conference . Piscataway:IEEE Press , 2014 : 2898 - 2904 .

AL-HOURANI A , KANDEEPAN S , LARDNER S . Optimal LAP altitude for maximum coverage [J ] . IEEE Wireless Communications Letters , 2014 , 3 ( 6 ): 569 - 572 .

BOR-YALINIZ R I , EL-KEYI A , YANIKOMEROGLU H . Efficient 3-D placement of an aerial base station in next generation cellular networks [C ] // Proceedings of 2016 IEEE International Conference on Communications . Piscataway:IEEE Press , 2016 : 1 - 5 .

3GPP . Base station (BS) radio transmission and reception,Release 17 [S ] . 3GPP TS 38.104 , 2021 .

3GPP . Physical channels and modulation,Release 17 [S ] . 3GPP TS 38.211 , 2022 .

王超 . 无人机基站部署与位置更新研究 [D ] . 西安:西安电子科技大学 , 2019 .

WANG C . Deployment and location updating of UAV base stations [D ] . Xi’an:Xidian University , 2019 .

Views

1663

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Rapid deployment method of integrated localization and communication network for high dynamic emergency scenarios

Multi-UAV cooperative channel model for emergency communication

AoI-oriented low-energy-consumption information collection and transmission scheduling mechanism for emergency UAV networks

Research on new frameworks and key technologies for intelligent emergency command communication networks

Large-scale post-disaster user distributed coverage optimization based on multi-agent reinforcement learning

Related Author

ZHANG Yuhao

LIU Zhenyu

WANG Li

ZHU Wendi

XU Lianming

Lu BAI

Mingran SUN

Ziwei HUANG

Related Institution

G Innovation Centre, University of Surrey, Guildford

萨里大学6G创新中心，萨里郡吉尔福德

Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University

School of Electronics, Peking University

Institute of System Engineering, Academy of Military Sciences PLA

AI问答

⁰