许杉1,
屈瑶1,
王晶1,
张杰3
1.西安理工大学自动化与信息工程学院 ??西安 ??710048
2.西南科技大学特殊环境机器人技术四川省重点实验室 ??绵阳 ??621010
3.北京邮电大学电信工程学院 ??北京 ??100876
基金项目:国家自然科学基金-中国民航局民航联合研究基金(U1433110)，西安市碑林区科技计划项目(GX1617)，陕西省教育厅服务地方专项计划项目(17JF024)，特殊环境机器人技术四川省重点实验室开放基金(17kftk04)，西安市科学计划项目(CXY1835(4))，陕西省重点产业链创新计划项目(2017ZDCXL-GY-05-03)
详细信息
作者简介:赵太飞：男，1978年生，教授，研究方向为通信网络、无线光通信技术
许杉：女，1995年生，硕士生，研究方向为无人机蜂群、无线紫外光通信网络
屈瑶：女，1993年生，硕士生，研究方向为紫外光通信、中继协作
王晶：女，1993年生，硕士生，研究方向为无线光通信、邻居发现方法
通讯作者:赵太飞 zhaotaifei@163.com
中图分类号:TN929.1计量
文章访问数:1335
HTML全文浏览量:564
PDF下载量:68
被引次数:0
出版历程
收稿日期:2018-05-22
修回日期:2018-12-11
网络出版日期:2018-12-26
刊出日期:2019-04-01
Cluster-based Algorithm of Reconnaissance UAV Swarm Based on Wireless Ultraviolet Secret Communication
Taifei ZHAO1, 2,,,Shan XU1,
Yao QU1,
Jing WANG1,
Jie ZHANG3
1. Faculty of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, China
2. Robot Technology Used for Special Environment Key Laboratory of Sichuan Province, Southwest University of Science and Technology, Mianyang 621010, China
3. Faculty of Telecommunications Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Funds:The National Natural Science Foundation of China-CAAC Civil Aviation Joint Research Foundation (U1433110), The Science and Technology Plan Project of Xi’an Beilin Area (GX1617), The Service Local Special Plan Project of Shaanxi Province Education Department (17JF024), The Open Foundation of Robot Technology Used for Special Environment Key Laboratory of Sichuan Province (17kftk04), The Xi’an Science Project (CXY1835(4)), The Shaanxi Key Industry Chain Innovation Project (2017ZDCXL-GY-05-03)
摘要
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。
关键词:无人机蜂群/
无线紫外光通信/
分簇算法/
能耗平衡
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.
Key words:Unmanned Aerial Vehicle (UAV) swarm/
Wireless ultraviolet communication/
Cluster-based algorithm/
Energy balance
PDF全文下载地址:
https://jeit.ac.cn/article/exportPdf?id=072bb617-ed2b-4df0-96c6-74626813dabf
