面向群体快速融合的仿生无人机集群架构

曾子鸣; 董超; 朱小军; 贾子晔

doi:10.11959/j.issn.1000-0801.2022240

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面向群体快速融合的仿生无人机集群架构

专题：无人机空地无线通信技术 | 更新时间：2024-06-05

- 面向群体快速融合的仿生无人机集群架构
- Bionic UAV architecture for fast swarm fusion
- 电信科学 2022年38卷第8期页码：17-27
- 作者机构：
  
  1. 南京航空航天大学电子信息工程学院，江苏南京 211106
  2. 南京航空航天大学计算机科学与技术学院，江苏南京 211106
- 作者简介：
  
  [ "曾子鸣（1999- ），男，南京航空航天大学电子信息工程学院硕士生，主要研究方向为仿生无人机集群架构" ]
  [ "董超（1980- ），男，南京航空航天大学电子信息工程学院院长助理、教授、博士生导师，万人计划青年拔尖人才，江苏省333工程“中青年学术技术带头人”，主要研究方向为无人机蜂群自组织网络、空天地一体智联网、边缘网络智能、无人机协同智能应用、大规模无线网络仿真等" ]
  [ "朱小军（1986- ），男，南京航空航天大学计算机科学与技术学院副教授、硕士生导师，主要研究方向为无线网络和无人机网络" ]
  [ "贾子晔（1990- ），女，南京航空航天大学电子信息工程学院副研究员、硕士生导师，主要研究方向为空天地一体化网络、卫星网络、无人机组网、网络功能虚拟化等方向的相关基础理论和应用技术" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61931011);国家自然科学基金资助项目;The National Natural Science Foundation of China(61972199);江苏省自然科学基金资助项目;The Natural Science Foundation of Jiangsu Province of China(BK20220883);中央高校基本科研业务费;The Fundamental Research Funds for the Central Universities(NS2022045)
- DOI：10.11959/j.issn.1000-0801.2022240
  中图分类号： TP393
- 网络出版日期：2022-08，
  
  纸质出版日期：2022-08-20
- 稿件说明：
移动端阅览
曾子鸣, 董超, 朱小军, 等. 面向群体快速融合的仿生无人机集群架构[J]. 电信科学, 2022,38(8):17-27.

Ziming ZENG, Chao DONG, Xiaojun ZHU, et al. Bionic UAV architecture for fast swarm fusion[J]. Telecommunications science, 2022, 38(8): 17-27.
曾子鸣, 董超, 朱小军, 等. 面向群体快速融合的仿生无人机集群架构[J]. 电信科学, 2022,38(8):17-27. DOI： 10.11959/j.issn.1000-0801.2022240.

Ziming ZENG, Chao DONG, Xiaojun ZHU, et al. Bionic UAV architecture for fast swarm fusion[J]. Telecommunications science, 2022, 38(8): 17-27. DOI： 10.11959/j.issn.1000-0801.2022240.

摘要

摘要：无人机集群作战是未来战场的重要组成部分。集群内的无人机通过协作，进行载荷的互补与任务协调，以提升系统整体性能。自然界中如蚂蚁、狼、鸽子、鱼等群体，其个体与单架无人机行为类似，而蚁群、狼群、鸽群又能依靠个体间的规则，通过协调与组织实现更为复杂的行为。不同生物集群展现的能力不同，在战场上能承担的任务也各不相同。从生物集群的群体特征出发，考虑生物间的拓扑和交流机制，提出了一种仿生无人机集群的融合架构。不同种类的仿生无人机集群自由地融合，增强了无人机集群的异构性，提高仿生无人机集群架构的协调能力。

Abstract

UAV swarm operation is an important part of the future battlefield.UAVs in the cluster cooperate to complement each other and coordinate tasks to improve the overall performance of the system.In animal groups such as ants

wolves

pigeons

fish

etc.

their individuals behave similarly to a single drone

while ant colonies

wolves

and pigeon colonies can rely on the rules between individuals to achieve more complex behaviors through group coordination and organization.Different creatures exhibit different abilities and can undertake different tasks on the battlefield.Considering the topology and communication mechanism between creatures

a fusion architecture of bionic drone swarms was proposed which aims to enable different types of bionic UAV swarms to be freely integrated and improve the coordination level of the whole UAV swarm architecture.

关键词

Keywords

references

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