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基于无线紫外光隐秘通信的侦察无人机蜂群分簇算法

赵太飞 许杉 屈瑶 王晶 张杰

赵太飞, 许杉, 屈瑶, 王晶, 张杰. 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
引用本文: 赵太飞, 许杉, 屈瑶, 王晶, 张杰. 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
Taifei ZHAO, Shan XU, Yao QU, Jing WANG, Jie ZHANG. 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
Citation: Taifei ZHAO, Shan XU, Yao QU, Jing WANG, Jie ZHANG. 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

基于无线紫外光隐秘通信的侦察无人机蜂群分簇算法

doi: 10.11999/JEIT180491
基金项目: 国家自然科学基金-中国民航局民航联合研究基金(U1433110),西安市碑林区科技计划项目(GX1617),陕西省教育厅服务地方专项计划项目(17JF024),特殊环境机器人技术四川省重点实验室开放基金(17kftk04),西安市科学计划项目(CXY1835(4)),陕西省重点产业链创新计划项目(2017ZDCXL-GY-05-03)
详细信息
    作者简介:

    赵太飞:男,1978年生,教授,研究方向为通信网络、无线光通信技术

    许杉:女,1995年生,硕士生,研究方向为无人机蜂群、无线紫外光通信网络

    屈瑶:女,1993年生,硕士生,研究方向为紫外光通信、中继协作

    王晶:女,1993年生,硕士生,研究方向为无线光通信、邻居发现方法

    通讯作者:

    赵太飞 zhaotaifei@163.com

  • 中图分类号: TN929.1

Cluster-based Algorithm of Reconnaissance UAV Swarm Based on Wireless Ultraviolet Secret Communication

Funds: The National Natural Science Foundation of China-CAAC Civil Aviation Joint Research Foundation (U1433110), The Science and Technology Plan Project of Xi’an Beilin Area (GX1617), The Service Local Special Plan Project of Shaanxi Province Education Department (17JF024), The Open Foundation of Robot Technology Used for Special Environment Key Laboratory of Sichuan Province (17kftk04), The Xi’an Science Project (CXY1835(4)), The Shaanxi Key Industry Chain Innovation Project (2017ZDCXL-GY-05-03)
  • 摘要:

    针对复杂战场环境下无人机(UAV)蜂群的渗透侦察任务,考虑无人机间信息传输时能量消耗的不均匀性,影响侦察任务的高效实施,该文提出一种基于无线紫外光隐秘通信的侦察UAV蜂群分簇算法。该算法结合无线紫外光散射通信的优点,通过分簇拓扑管理机制对UAV蜂群进行能耗平衡。仿真结果表明,与现有算法相比,所提算法能够有效均衡网络能量消耗,提高网络的传输效率,并且选取合适的数据包长度及节点密度可延长UAV蜂群的生存周期。

  • 图  1  非直视单次散射通信模型

    图  2  无人机蜂群分簇模型

    图  3  死亡节点数对比

    图  5  剩余能量对比

    图  4  数据传输量对比

    图  6  不同数据包长度下死亡节点数的比较

    图  7  不同数据包长度下剩余能量的比较

    图  8  不同节点密度下死亡节点数的比较

    图  9  不同节点密度下数据传输量的比较

    图  10  不同节点密度下剩余能量的比较

    表  1  实验参数

    参数取值
    节点数100
    节点通信能量300 J
    ${E_T}$8.0 μJ
    ${E_R}$8.0 μJ
    ${E_{{\rm{DA}}}}$0.8 μJ
    波长$\lambda $266 nm
    吸收系数${k_a}$$0.740 \times {10^{ - 3}}$ m–1
    散射系数${k_s}$$0.515 \times {10^{ - 3}}$ m–1
    接收孔径面积${A_r}$1.92 cm2
    瑞利散射相函数参数$\gamma $0.017
    斜发收${\beta _t}$, ${\beta _r}$60°
    斜发收${\theta _t}$, ${\theta _r}$15°
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-05-22
  • 修回日期:  2018-12-11
  • 网络出版日期:  2018-12-26
  • 刊出日期:  2019-04-01

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