无人机自主通信和组网能力评估方法

doi:10.11959/j.issn.1000-436x.2020143

Abstract

Abstract:

In order to accurately evaluate the autonomous communication and networking capability of these unmanned system which was instructive to the intelligent collaboration of UAV (unmanned aerial vehicle) system,the research of the UAV system which was adapted to the complex environment with countermeasure possibilities was focused on.The autonomous communication and networking capability of UAV system and their relationship from multiple perspectives was analyzed and modeled,including self-adaptation,self-decision,man-UAV interaction,cyber-physical integration and evolution,and an example was provided to illustrate the detailed evaluation process.The example results show that the proposed method comprehensively consider all the key aspects of the performance evaluation,which can be used to quantitatively evaluate the autonomous communication and networking capability of different UAVs or other unmanned systems.

Key words: unmanned aerial vehicle, autonomous communication, self-organizing network, cyber-physical integration, performance evaluation

CLC Number:

TP393

Haitao ZHAO,Shishun GAO,Haijun WANG,Ting YONG,Jibo WEI. Evaluation method for autonomous communication and networking capability of UAV[J]. Journal on Communications, 2020, 41(8): 87-98.

Figures/Tables 16

算法	场景	A_j =Ψ{F_i}(Ψ取按比例求和；F_i的权重相同)		$B_{k} = \sum_{j = 1}^{2} λ_{j} A_{j} (λ_{2} = 2 λ_{1})$	$C = \sum_{k = 1}^{3} π_{k} B_{k} (π_{1} = π_{2} = π_{3})$
	友好场景	第一次A₁=0.92	第二次A₂=0.98	B₁=0.96
算法1	障碍场景	第一次A₁=0.85	第二次A₂=0.92	B₂=0.897	0.90
	对抗场景	第一次A₁=0.80	第二次A₂=0.86	B₃=0.84
	友好场景	第一次A₁=0.95	第二次A₂=0.95	B₁=0.95
算法2	障碍场景	第一次A₁=0.76	第二次A₂=0.76	B₂=0.76	0.71
	对抗场景	第一次A₁=0.45	第二次A₂=0.45	B₃=0.45
	友好场景	第一次A₁=0.96	第二次A₂=0.95	B₁=0.953
算法3	障碍场景	第一次A₁=0.46	第二次A₂=0.46	B₂=0.46	0.54
	对抗场景	第一次A₁=0.21	第二次A₂=0.21	B₃=0.21

References 23

[1]	GUPTA L , JAIN R , VASZKUN G . Survey of important issues in UAV communication networks[J]. IEEE Communications Surveys ＆ Tutorials, 2016,18(2): 1123-1152.
[2]	ZHU H Y , NIU Y F , SHEN L C ,et al. State of the art and trends of autonomous control of UAV systems[J]. Journal of National University of Defense Technology, 2010,32(3): 115-120.
[3]	HAN Z , SWINDLEHURST A L , LIU K R . Optimization of MANET connectivity via smart deployment/movement of unmanned air vehicles[J]. IEEE Transactions on Vehicular Technology, 2009,58(7): 3533-3546.
[4]	ZHAN P , YU K , SWINDLEHURST A L . Wireless relay communications with unmanned aerial vehicles:performance and optimization[J]. IEEE Transactions on Aerospace and Electronic Systems, 2011,47(3): 2068-2085.
[5]	ALSHAMRANI A , XIE L L , SHEN X . Adaptive admission-control and channel-allocation policy in cooperative ad hoc opportunistic spectrum networks[J]. IEEE Transactions on Vehicular Technology, 2010,59(4): 1618-1629.
[6]	杨双懋, 郭伟, 唐伟 . 一种最大化网络吞吐量的认知无线 Ad Hoc网络跨层优化算法[J]. 计算机学报, 2012,35(3): 491-503.
	YANG S M , GUO W , TANG W . A cross-layer throughput-maximization algorithm for cognitive wireless Ad Hoc networks[J]. Chinese Journal of Computers, 2012,35(3): 491-503.
[7]	ZHAO H T , MAO L C , WEI J B . Coverage on demand:a simple motion control algorithm for autonomous robotic sensor networks[J]. Computer Networks, 2018(135): 190-200.
[8]	ZHAO H T , WANG H J , WU W Y ,et al. Deployment algorithms for UAV airborne networks towards on-demand coverage[J]. IEEE Journal on Selected Area of Communications, 2018,36(9): 2015-2031.
[9]	吴炜钰, 赵海涛, 王海军 ,等. 无人机骨干网分布式组网及接入选择算法[J]. 计算机学报, 2019,42(2): 351-367.
	WU W Y , ZHAO H T , WANG H J ,et al. Distributed deployment and access selection algorithm for UAV airborne networks[J]. Chinese Journal of Computers, 2019,42(2): 351-367.
[10]	ZHAO H T , WEI J B , HUANG S C ,et al. Regular topology formation based on artificial forces for distributed mobile robotic networks[J]. IEEE Transactions on Mobile Computing, 2018,18(10): 2415-2429.
[11]	ZHAO H T , LIU H , LEUNG Y W ,et al. Self-adaptive collective motion of swarm robots[J]. IEEE Transactions on Automation Science and Engineering, 2018,15(4): 1533-1545.
[12]	SALEEM Y , REHMANI M H , ZEADALLY S . Integration of cognitive radio technology with unmanned aerial vehicles:issues,opportunities,and future research challenges[J]. Journal of Network and Computer Applications, 2015(50): 15-31.
[13]	魏急波, 王杉, 赵海涛 . 认知无线网络:关键技术与研究现状[J]. 通信学报, 2011,32(11): 147-158.
	WEI J B , WANG S , ZHAO H T . Cognitive wireless networks:key techniques and sate of the art[J]. Journal on Communications, 2011,32(11): 147-158.
[14]	BKASSINY M , LI Y , JAYAWEERA S K . A survey on machine-learning technique in cognitive radios[J]. IEEE Communications Survey and Tutorials, 2013,15(3): 1136-1159.
[15]	尤肖虎, 张川, 谈晓思 ,等. 基于AI的5G技术—研究方向与范例[J]. 中国科学:信息科学, 2018,48(12): 1589-1602.
	YOU X H , ZHANG C , TAN X S ,et al. AI for 5G:research directions and paradigms[J]. Science Sinica Informationis, 2018,48(12): 1589-1602.
[16]	尹浩, 魏急波, 赵海涛 ,等. 一种面向复杂场景的无线通信节点智能适变架构[J]. 中国科学:信息科学, 2020,Doi:SSI-2020-0038.
	YIN H , WEI J B , ZHAO H T ,et al. An intelligent adaptative architecture for wireless communication in complicated scenario[J]. Science Sinica Informationis, 2020,Doi:SSI-2020-0038.
[17]	SHUAI Z,XUE-REN L , PENG Z , et al . UAV autonomy evaluation based on multi-factors fuzzy evaluation[C]// 2016 7th International Conference on Mechanical and Aerospace Engineering.[S.n.:s.l]. 2016: 487-491.
[18]	SHOLES E , . Evolution of a UAV autonomy classification taxonomy[C]// 2007 IEEE Aerospace Conference. Piscataway:IEEE Press, 2007: 1-16.
[19]	CHEN Z J , WEI J Z , WANG Y X ,et al. UAV autonomous control levels and system structure[J]. Acta Aeronautica Et Astronautica Sinica, 2011,32(6): 1075-1083.
[20]	高劲松, 余菲, 季晓光 . 无人机自主控制等级的研究现状[J]. 电光与控制, 2009,16(10): 51-54.
	GAO J S , YU F , JI X G . Current situation of studies on autonomous control level of UAVs[J]. Electronics Optics ＆ Control, 2009,16(10): 51-54.
[21]	WANG Y C , LIU J G . Evaluation methods for the autonomy of unmanned systems[J]. China Science Bulletin, 2012(57): 1290-1299.
[22]	ZHAO H T , WANG H J , ZHANG Y C ,et al. Modelling smart mobile robotic networks from a cyber physical system perspective[C]// 2018 International Conference on Communications. Piscataway:IEEE Press, 2018: 259-264.
[23]	董强健, 赵海涛, 郑超轶 ,等. 无人机自组网典型场景构建及路由协议性能分析[J]. 通信技术, 2019,52(9): 2019-2155.
	DONG Q J , ZHAO H T , ZHENG C Y ,et al. Performance analysis on routing protocols in UAV Ad Hoc networks[J]. Communications Technology, 2019,52(9): 2019-2155.

Metrics

Recommended 0

No Suggested Reading articles found!

算法	环境适应能力			信息物理融合			学习能力
算法	友好场景	障碍场景	对抗场景	通信需求	计算需求	控制需求	学习能力
算法1	√	√	√	中	中	高	√
算法2	√	√	×	高	低	低	×
算法3	√	×	×	低	高	中	×

Evaluation method for autonomous communication and networking capability of UAV

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 16

References 23

Related Articles 15

Metrics

Recommended 0

[1]	Zhenyu XIAO, Ke LIU, Lipeng ZHU. Millimeter-wave array enabled UAV-to-UAV communication technology [J]. Journal on Communications, 2022, 43(10): 196-209.
[2]	Wennai WANG, Yanhe ZHANG, Wei WU, Chen BAI, Bin WANG. Depth first traversal algorithm for the back-off tree of distributed queuing [J]. Journal on Communications, 2021, 42(2): 72-80.
[3]	Shu FU, Xiangyue YANG, Haijun ZHANG, Chen CHEN, Peng YU, Xin JIAN, Min LIU. UAV path intelligent planning in IoT data collection [J]. Journal on Communications, 2021, 42(2): 124-133.
[4]	Lei HE, Jianfeng MA, Dawei WEI. Attribute-based proxy signature scheme for unmanned aerial vehicle networks [J]. Journal on Communications, 2021, 42(11): 87-96.
[5]	Jiazhi REN,Hui TIAN,Shaoshuai FAN,Yuanzhuo LIN,Gaofeng NIE,Jilong LI. UAV deployment and caching scheme based on user preference prediction [J]. Journal on Communications, 2020, 41(6): 1-13.
[6]	Chaoqiong FAN,Chenglin ZHAO,Bin LI. Hierarchical game based spectrum access optimization for anti-jamming in UAV network [J]. Journal on Communications, 2020, 41(6): 26-33.
[7]	Bonan YIN,Mugen PENG,Chenxi LIU. Analysis of UAV wireless network coverage and handover performance [J]. Journal on Communications, 2020, 41(11): 22-29.
[8]	Bo ZHENG,Hengyang ZHANG,Yong LI,Wei CHENG. Coverage in airborne backbone network [J]. Journal on Communications, 2018, 39(11): 36-43.
[9]	Qi WANG,Jaffrès-Runser Katia,Yi SUN,Jun LI,Jun ZHANG,Bin DA,Zhong-cheng LI. Fundamental performance bounds for multi-performance criteria in wireless ad hoc networks [J]. Journal on Communications, 2015, 36(6): 1-140.
[10]	. Performance evaluation of TCP congestion control algorithms in fast long distance network [J]. Journal on Communications, 2014, 35(4): 10-90.
[11]	Guo-dong WANG,Yong-mao REN,Jun LI. Performance evaluation of TCP congestion control algorithms in fast long distance network [J]. Journal on Communications, 2014, 35(4): 81-90.
[12]	. Multi-dimension resource allocation algorithm based on QoS guarantee in dense WLAN [J]. Journal on Communications, 2014, 35(3): 17-156.
[13]	Qi ZHANG,Lin-jing ZHAO,Jian-dong LI. Multi-dimension resource allocation algorithm based on QoS guarantee in dense WLAN [J]. Journal on Communications, 2014, 35(3): 150-156.
[14]	. Trustworthy service discovery based on a modified ant colony algorithm [J]. Journal on Communications, 2013, 34(10): 5-48.
[15]	Guo-jun SHENG,Tao WEN,Quan GUO,Xiao-ying SONG. Trustworthy service discovery based on a modified ant colony algorithm [J]. Journal on Communications, 2013, 34(10): 37-48.