| 无人机蜂群中紫外光隐秘通信能耗均衡路由算法 |
| |
| 引用本文： | 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. DOI: 10.3969/j.issn.1001-506X.2021.01.31 |
| |
| 作者姓名： | 赵太飞 程敏花 吕鑫喆 郑博睿 |
| |
| 作者单位： | 1. 西安理工大学自动化与信息工程学院, 陕西 西安 7100482. 陕西省智能协同网络军民共建重点实验室, 陕西 西安 710048 |
| |
| 基金项目： | 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)) |
| |
| 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...
|
| 关 键 词： | 无人机蜂群 无线紫外光通信 路由算法 能耗均衡 |
| 收稿时间： | 2020-05-26 |
Energy consumption balancing routing algorithm of UAV swarm for ultraviolet secret communication |
| |
| Taifei ZHAO,Minhua CHENG,Xinzhe LYU,Borui ZHENG. Energy consumption balancing routing algorithm of UAV swarm for ultraviolet secret communication[J]. System Engineering and Electronics, 2021, 43(1): 251-257. DOI: 10.3969/j.issn.1001-506X.2021.01.31 |
| |
| Authors: | Taifei ZHAO Minhua CHENG Xinzhe LYU Borui ZHENG |
| |
| Affiliation: | 1. School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China2. Shanxi Civil-Military Integration Key Laboratory of Intelligence Collaborative Networks, Xi'an 710048, China |
| |
| 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. |
| |
| Keywords: | unmanned aerial vehicle(UAV)swarm wireless ultraviolet communication routing algorithm energy consumption balancing |
| 本文献已被 维普 等数据库收录！ |
| 点击此处可从《系统工程与电子技术》浏览原始摘要信息 |
|
点击此处可从《系统工程与电子技术》下载全文 |
|
