无人机蜂群中紫外光隐秘通信能耗均衡路由算法

doi:10.3969/j.issn.1001-506X.2021.01.31

系统工程与电子技术 ›› 2021, Vol. 43 ›› Issue (1): 251-257.doi: 10.3969/j.issn.1001-506X.2021.01.31

无人机蜂群中紫外光隐秘通信能耗均衡路由算法

赵太飞^1,²(), 程敏花¹(), 吕鑫喆¹(), 郑博睿^1,²()

1. 西安理工大学自动化与信息工程学院, 陕西西安 710048
2. 陕西省智能协同网络军民共建重点实验室, 陕西西安 710048

收稿日期:2020-05-26 出版日期:2020-12-25 发布日期:2020-12-30
作者简介:赵太飞(1978-),男,教授,博士研究生导师,博士,主要研究方向为通信网络、无线光通信技术。E-mail:tfz@xaut.edu.cn|程敏花(1997-),女,硕士研究生,主要研究方向为无人机蜂群、无线紫外光通信网络。E-mail:1228586745@qq.com|吕鑫喆(1997-),男,硕士研究生,主要研究方向为无线紫外光通信。E-mail:1608989520@qq.com|郑博睿(1981-),男,讲师,博士，主要研究方向为无人机蜂群。E-mail:narcker@xaut.edu.cn
基金资助:
国家自然科学基金(61971345);陕西省重点产业链创新计划项目(2017ZDCXL-GY-05-03);陕西省教育厅科研计划项目(17-JF024);西安市碑林区科技计划项目(GX1921);西安市科学计划项目(CXY1835(4))

Energy consumption balancing routing algorithm of UAV swarm for ultraviolet secret communication

Taifei ZHAO^1,²(), Minhua CHENG¹(), Xinzhe LYU¹(), Borui ZHENG^1,²()

1. School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China
2. Shanxi Civil-Military Integration Key Laboratory of Intelligence Collaborative Networks, Xi'an 710048, China

Received:2020-05-26 Online:2020-12-25 Published:2020-12-30

摘要/Abstract

摘要：

针对复杂战场环境下无人机蜂群的任务协同要求,保证编队内可靠的路由通信尤为重要。考虑无人机携带能源有限,为了尽可能延长空中作业时间,提出一种无人机蜂群中紫外光隐秘通信能耗均衡路由算法。在无人机编队保持的基础上,结合无线紫外光散射通信特点,在路由选择过程中引入通信链路路径损耗和无人机节点剩余能量来构建链路权值函数,从而有效地平衡无人机蜂群节点的能量消耗。仿真结果表明,与其他算法相比,所提算法能够动态地选择数据传输路径,使节点的能量消耗均衡,进而延长无人机蜂群的生命周期。

关键词: 无人机蜂群, 无线紫外光通信, 路由算法, 能耗均衡

Abstract:

Focusing on the tasks collaboration requirements of the unmanned aerial vehicle (UAV) swarm under the complex battlefield environment, it is especially important to ensure the reliable of routing communication within the formation. Considering the limited energy carried by the UAV, in order to maximize the flight time of UAV, an energy consumption balancing routing algorithm of UAV swarm for ultraviolet secret communication is proposed. Based on the formation keeping of UAV and combined the characteristics of wireless ultraviolet scattering communication, both communication link path loss and residual energy of UAV nodes is introduced to construct the link weight function in the process of routing, which can balance the energy consumption of UAV swarm nodes. Simulation results show that compared with other algorithms, the proposed algorithm can dynamically select the data transmission path to balance energy consumption of nodes efficiently, thereby extend the lifetime of UAV swarm.

Key words: unmanned aerial vehicle(UAV)swarm, wireless ultraviolet communication, routing algorithm, energy consumption balancing

中图分类号:

TN929.1

赵太飞, 程敏花, 吕鑫喆, 郑博睿. 无人机蜂群中紫外光隐秘通信能耗均衡路由算法[J]. 系统工程与电子技术, 2021, 43(1): 251-257.

Taifei ZHAO, Minhua CHENG, Xinzhe LYU, Borui ZHENG. Energy consumption balancing routing algorithm of UAV swarm for ultraviolet secret communication[J]. Systems Engineering and Electronics, 2021, 43(1): 251-257.

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参数	取值
节点数	20
E_T/μJ	8.0
E_R/μJ	8.0
发送端发散角${{\phi }_{1}}$/(°)	10
接收端视场角${{\phi }_{2}}$/(°)	30
数据分组大小/bit	5 120
权值系数α₁	0.5
权值系数α₂	0.5

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无人机蜂群中紫外光隐秘通信能耗均衡路由算法

Energy consumption balancing routing algorithm of UAV swarm for ultraviolet secret communication

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