Cluster-based Algorithm of Reconnaissance UAV Swarm Based on Wireless Ultraviolet Secret Communication
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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。
Abstract:Focusing on the reconnaissance mission of Unmanned Aerial Vehicle (UAV) swarm under complex battlefield environment, the non-uniform energy consumption during the information transmission between UAVs affects the efficient implementation of the reconnaissance mission, thus a cluster-based algorithm of reconnaissance UAV swarm based on wireless ultraviolet secret communication is proposed. Combined the advantages of wireless ultraviolet scattering communication, this algorithm uses cluster topology management mechanism to balance the energy consumption of UAV swarm. Simulation results show that the algorithm can effectively balance the network energy consumption and improve the transmission efficiency of the network when compared with the existing algorithm, and the lifetime of swarm can be extended when selecting the appropriate packet length and node density.
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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° 
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