Evaluation method for autonomous communication and networking capability of UAV

Haitao ZHAO; Shishun GAO; Haijun WANG; Ting YONG; Jibo WEI

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

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Evaluation method for autonomous communication and networking capability of UAV

Papers | 更新时间：2024-06-05

- Evaluation method for autonomous communication and networking capability of UAV
- Journal on Communications Vol. 41, Issue 8, Pages: 87-98(2020)
- 作者机构：
  
  1. 国防科技大学电子科学学院，湖南长沙 410073
  2. 信息系统安全技术国家重点实验室，北京 100191
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61931020)
- DOI：10.11959/j.issn.1000-436x.2020143
  CLC： TP393
- Online First：2020-08，
  
  Published：25 August 2020
- 稿件说明：
移动端阅览
Haitao ZHAO, Shishun GAO, Haijun WANG, et al. Evaluation method for autonomous communication and networking capability of UAV[J]. Journal on Communications, 2020, 41(8): 87-98.
DOI：

Haitao ZHAO, Shishun GAO, Haijun WANG, et al. Evaluation method for autonomous communication and networking capability of UAV[J]. Journal on Communications, 2020, 41(8): 87-98. DOI： 10.11959/j.issn.1000-436x.2020143.

摘要

为了准确评估无人机系统的自主通信和组网能力以提升其智能化协同水平，面向复杂环境和对抗任务的中高端无人机系统，立足于实际需求，从自适应能力、自主决策能力、指令理解能力、计算和信息物理融合能力以及学习能力等多个角度分析无人机系统的自主通信和组网能力及其相互关系，建立无人机系统自主通信和组网能力构成模型，通过构造函数对各个影响要素实现合成计算，并通过一个范例来说明具体的评估过程。范例评估结果表明，所提方法比较全面地考虑了各方面的影响因素，可以对不同无人机系统的自主通信和组网能力进行定量的客观评价。

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.

关键词

Keywords

references

GUPTA L , JAIN R , VASZKUN G . Survey of important issues in UAV communication networks [J ] . IEEE Communications Surveys ＆ Tutorials , 2016 , 18 ( 2 ): 1123 - 1152 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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 .

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.

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 .

SHOLES E , . Evolution of a UAV autonomy classification taxonomy [C ] // 2007 IEEE Aerospace Conference . Piscataway:IEEE Press , 2007 : 1 - 16 .

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 .

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 .

WANG Y C , LIU J G . Evaluation methods for the autonomy of unmanned systems [J ] . China Science Bulletin , 2012 ( 57 ): 1290 - 1299 .

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 .

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 .

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