Energy Balance Algorithm for Wireless Ultraviolet Secret Communication in UAV Formation
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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。
Abstract:In view of secret communication among unmanned aerial vehicles under the strong electromagnetic interference environment, this paper proposes the energy balance algorithm for wireless ultraviolet secret communication in Unmanned Aerial Vehicle (UAV) formation. The proposed algorithm combines the advantages of ultraviolet in non-line-of-sight and low eavesdropping, overcomes the disadvantage of the traditional radio, which can easily be monitored. It can provide reliable assurance for the leader to collect information of wingmen while balancing the energy consumption. The improved algorithm is proposeal based on cluster mechanism via introducing the priority function, which considers distance and residual energy. Adopting the improved algorithm to simulate under two scenarios in which UAVs are deployed randomly or UAVs are deployed in circle formation respectively, the simulation results show that the time of 50% death nodes occurring in UAV network is prolongal by 12% and 16% respectively under two types of deployment, and the improved algorithm can effectively balance the communication energy consumption of the network and prolong the survival time of UAV network.
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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 
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