高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

无人机编队中无线紫外光隐秘通信的能耗均衡算法

赵太飞 林亚茹 马倩文 郑博睿

赵太飞, 林亚茹, 马倩文, 郑博睿. 无人机编队中无线紫外光隐秘通信的能耗均衡算法[J]. 电子与信息学报, 2020, 42(12): 2969-2975. doi: 10.11999/JEIT190965
引用本文: 赵太飞, 林亚茹, 马倩文, 郑博睿. 无人机编队中无线紫外光隐秘通信的能耗均衡算法[J]. 电子与信息学报, 2020, 42(12): 2969-2975. doi: 10.11999/JEIT190965
Taifei ZHAO, Yaru LIN, Qianwen MA, Borui ZHENG. Energy Balance Algorithm for Wireless Ultraviolet Secret Communication in UAV Formation[J]. Journal of Electronics & Information Technology, 2020, 42(12): 2969-2975. doi: 10.11999/JEIT190965
Citation: Taifei ZHAO, Yaru LIN, Qianwen MA, Borui ZHENG. Energy Balance Algorithm for Wireless Ultraviolet Secret Communication in UAV Formation[J]. Journal of Electronics & Information Technology, 2020, 42(12): 2969-2975. doi: 10.11999/JEIT190965

无人机编队中无线紫外光隐秘通信的能耗均衡算法

doi: 10.11999/JEIT190965
基金项目: 国家自然科学基金(61971345),陕西省教育厅服务地方专项计划 (17JF024),陕西省重点产业链创新计划 (2017ZDCXL-GY-05-03),西安市碑林区科技计划(GX1921),西安市科学计划(CXY1835(4))
详细信息
    作者简介:

    赵太飞:男,1978年生,教授,研究方向为无线紫外光通信、无线光通信与组网

    林亚茹:女,1996年生,硕士生,研究方向为无人机组网通信

    马倩文:女,1996年生,硕士生,研究方向为无人机编队

    郑博睿:男,1981年生,讲师,研究方向为无人机飞行控制

    通讯作者:

    赵太飞 zhaotaifei@163.com

  • 中图分类号: TN929.12

Energy Balance Algorithm for Wireless Ultraviolet Secret Communication in UAV Formation

Funds: The National Natural Science Foundation of China (61971345), The Scientific Research Program Funded by Shaanxi Provincial Education Department (17JF024), The Shaanxi Key Industry Chain Innovation (2017ZDCXL-GY-05-03), The Science and Technology Plan Project of Xi’an Beilin Area (GX1921), The Xi’an Science Project (CXY1835(4))
  • 摘要:

    针对强电磁干扰环境下无人机之间的隐秘通信,该文提出了无人机编队中无线紫外光隐秘通信的能耗均衡算法。该算法能够结合紫外光非直视、低窃听等优点,克服传统无线电易被监听的缺点,在均衡能耗的同时为长机收集僚机信息提供可靠保证。通过引入考虑距离和剩余能量的优先级函数,提出基于分簇机制的改进算法BEAD-LEACH,并采用改进算法对无人机随机部署和呈圆形编队部署时进行仿真。仿真结果表明,在两种部署方式下,网络中50%节点出现死亡经历的时间分别延长了12%, 16%,改进算法能够有效地均衡网络的通信能耗,延长无人机网络的生存时间。

  • 图  1  无线紫外光非直视单次散射链路模型[10]

    图  2  蜂群无人机分簇示意图

    图  3  随机部署时的节点及簇首分布

    图  4  随机部署时不同算法的网络性能对比

    图  5  随机部署时不同算法的网络生存期

    图  6  随机部署时不同数据包长度的网络性能

    图  7  随机部署时不同数据包长度的网络生存期

    图  8  圆形编队时的节点及簇首分布

    图  9  圆形编队时不同算法的网络性能对比

    图  10  圆形编队时不同算法的网络生存期

    图  11  圆形编队时不同数据包长度的网络性能

    图  12  圆形编队时不同数据包长度的网络生存期

    表  1  仿真参数设置

    参数数值
    紫外光波长$\lambda $ (nm)260
    节点个数$n$100
    节点初始能量${E_0}$(J)300
    发送能量${E_{\rm{T}}}$(μJ)80
    接收能量${E_{\rm{R}}}$(μJ)80
    融合能量${E_{{\rm{DA}}}}$(μJ)8
    发收仰角${\beta _{\rm{T}}}$, ${\beta _{\rm{R}}}$(°)40
    发散半角与接收视场半角${\theta _{\rm{T}}}$, ${\theta _{\rm{R}}}$(°)15
    路径损耗因子$\xi $1.69×108
    路径损耗指数$\alpha $1.3498
    能量和距离权重因子${w_1}$,${w_2}$0.5
    下载: 导出CSV
  • BEKMEZCI I, SAHINGOZ O K, and TEMEL Ş. Flying Ad-Hoc Networks (FANETs): A survey[J]. Ad Hoc Networks, 2013, 11(3): 1254–1270. doi: 10.1016/j.adhoc.2012.12.004
    WU Husheng, LI Hao, XIAO Renbin, et al. Modeling and simulation of dynamic ant colony’s labor division for task allocation of UAV swarm[J]. Physica A: Statistical Mechanics and its Applications, 2017, 491: 127–141. doi: 10.1016/j.physa.2017.08.094
    李霁野, 邱柯妮. 紫外光通信在军事通信系统中的应用[J]. 光学与光电技术, 2005, 3(4): 19–21. doi: 10.3969/j.issn.1672-3392.2005.04.007

    LI Jiye and QIU Keni. Military application of UV communication[J]. Optics &Optoelectronic Technology, 2005, 3(4): 19–21. doi: 10.3969/j.issn.1672-3392.2005.04.007
    ARDAKANI M H and UYSAL M. Relay-assisted OFDM for ultraviolet communications: performance analysis and optimization[J]. IEEE Transactions on Wireless Communications, 2017, 16(1): 607–618. doi: 10.1109/TWC.2016.2626438
    SUN Yu, GONG Chen, XU Zhengyuan, et al. Link gain and pulse width broadening evaluation of non-line-of-sight optical wireless scattering communication over broad spectra[J]. IEEE Photonics Journal, 2017, 9(3): 7900212. doi: 10.1109/JPHOT.2017.2707468
    ZANG Chunhua and ZANG Shouhong. Mobility prediction clustering algorithm for UAV networking[C]. 2011 IEEE GLOBECOM Workshops (GC Wkshps), Houston, USA, 2011: 1158–1161. doi: 10.1109/GLOCOMW.2011.6162360.
    WANG Tianshu, ZHANG Gongxuan, YANG Xichen, et al. A trusted and energy efficient approach for cluster-based wireless sensor networks[J]. International Journal of Distributed Sensor Networks, 2016: 3815834. doi: 10.1155/2016/3815834
    WU Wenliang, XIONG Naixue, and WU Chunxue. Improved clustering algorithm based on energy consumption in wireless sensor networks[J]. IET Networks, 2017, 6(3): 47–53. doi: 10.1049/iet-net.2016.0115
    LUETTGEN M R, SHAPIRO J H, and REILLY D M. Non-line-of-sight single-scatter propagation model[J]. Journal of the Optical Society of America A, 1991, 8(12): 1964–1972. doi: 10.1364/JOSAA.8.001964
    ZUO Yong, XIAO Houfei, WU Jian, et al. A single-scatter path loss model for non-line-of-sight ultraviolet channels[J]. Optics Express, 2012, 20(9): 10359–10369. doi: 10.1364/OE.20.010359
    XU Zhengyuan, DING Haipeng, SADLER B M, et al. Analytical performance study of solar blind non-line-of-sight ultraviolet short-range communication links[J]. Optics Letters, 2008, 33(16): 1860–1862. doi: 10.1364/OL.33.001860
    CHEN Gang, XU Zhengyuan, DING Haipeng, et al. Path loss modeling and performance trade-off study for short-range non-line-of-sight ultraviolet communications[J]. Optics Express, 2009, 17(5): 3929–3940. doi: 10.1364/OE.17.003929
    TANG Shuyan, QIN Zheng, and XIN Jiankuan. Collaborative task assignment scheme for multi-UAV based on cluster structure[C]. 2010 Second International Conference on Intelligent Human-machine Systems and Cybernetics, Nanjing, China, 2010: 285–289. doi: 10.1109/IHMSC.2010.171.
    赵太飞, 许杉, 屈瑶, 等. 基于无线紫外光隐秘通信的侦察无人机蜂群分簇算法[J]. 电子与信息学报, 2019, 41(4): 967–972. doi: 10.11999/JEIT180491

    ZHAO Taifei, XU Shan, QU Yao, et al. Cluster-based algorithm of reconnaissance UAV swarm based on wireless ultraviolet secret communication[J]. Journal of Electronics &Information Technology, 2019, 41(4): 967–972. doi: 10.11999/JEIT180491
    LIU Xiaoyang. Simulation and analysis of an improved LEACH algorithm in wireless sensor network[C]. Proceedings of SPIE 8878, Fifth International Conference on Digital Image Processing, Beijing, China, 2013: 43. doi: 10.1117/12.2030941.
    张小波, 程良伦, ZHU Quanmin. SAHRC: 一种基于分簇的无线传感器网络路由控制算法[J]. 电子与信息学报, 2011, 33(8): 2013–2017. doi: 10.3724/SP.J.1146.2010.01270

    ZHANG Xiaobo, CHENG Lianglun, and ZHU Quanmin. SAHRC: A cluster-based routing control protocol for wireless sensor network[J]. Journal of Electronics &Information Technology, 2011, 33(8): 2013–2017. doi: 10.3724/SP.J.1146.2010.01270
    温佩芝, 许晨蛟, 邓珍荣, 等. 多级异构无线传感器网络分簇路由协议[J]. 计算机工程与设计, 2016, 37(6): 1471–1477. doi: 10.16208/j.issn1000-7024.2016.06.010

    WEN Peizhi, XU Chenjiao, DENG Zhenrong, et al. Cluster-routing protocol for heterogenous multi-level wireless sensor networks[J]. Computer Engineering and Design, 2016, 37(6): 1471–1477. doi: 10.16208/j.issn1000-7024.2016.06.010
  • 加载中
图(12) / 表(1)
计量
  • 文章访问数:  1329
  • HTML全文浏览量:  319
  • PDF下载量:  73
  • 被引次数: 0
出版历程
  • 收稿日期:  2019-12-02
  • 修回日期:  2020-01-20
  • 网络出版日期:  2020-11-13
  • 刊出日期:  2020-12-08

目录

    /

    返回文章
    返回