赵太飞^{1, 2,,},
林亚茹¹,
马倩文¹,
郑博睿^{1, 2}
1.西安理工大学自动化与信息工程学院 西安 710048
2.陕西省智能协同网络军民共建重点实验室 西安 710000
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

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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

Energy Balance Algorithm for Wireless Ultraviolet Secret Communication in UAV Formation

Taifei ZHAO^{1, 2,,},
Yaru LIN¹,
Qianwen MA¹,
Borui ZHENG^{1, 2}
1. Institute of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, China
2. Shaanxi Civil-Military Integration Key Laboratory of Intelligence Collaborative Networks, Xi’an 710000, China
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
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。
关键词:紫外光通信/
电磁干扰/
分簇机制/
能耗均衡/
生存周期
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.
Key words:Ultraviolet communication/
Electromagnetic interference/
Cluster mechanism/
Energy consumption balance/
Life cycle



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