Hierarchical clustering network topology structure generation method based on multi-task unmanned aerial vehicle cluster information interaction

A network topology and information interaction technology, applied in the field of network topology generation, can solve problems such as formation maintenance, information interaction for a single task, and limited cluster size

Active Publication Date: 2021-03-02
BEIHANG UNIV
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that the existing UAV cluster information interaction generated network topology is only oriented to formation maintenance and the cluster size is limited, the present invention proposes a hierarchical clustering network topology based on multi-task UAV cluster information interaction stru...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Hierarchical clustering network topology structure generation method based on multi-task unmanned aerial vehicle cluster information interaction
  • Hierarchical clustering network topology structure generation method based on multi-task unmanned aerial vehicle cluster information interaction
  • Hierarchical clustering network topology structure generation method based on multi-task unmanned aerial vehicle cluster information interaction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0175] (A) Assuming that a UAV cluster formation is composed of 22 UAVs, the set of UAVs marked with numbers is The communication range of each drone is 1600m without failure.

[0176] (B) Select the formation reference point, the unmanned aerial vehicle UAV numbered 20 20 As the formation reference point, the formation reference point UAV after assignment 20 The location of the UAV 20 (0,0,0).

[0177] (C) Tasks, tasks include target detection, information fusion, integrated navigation, fire attack and search and lock.

[0178] (D) All UAVs are classified into the same cluster based on performing the same mission.

[0179] The cluster responsible for the target detection task is denoted as C 1 , the cluster responsible for the information fusion task is denoted as C 2 , the cluster responsible for the integrated navigation task is denoted as C 3 , the cluster responsible for the fire attack task is denoted as C 4 , The cluster responsible for the search and lock task...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a hierarchical clustering network topology structure generation method based on multi-task unmanned aerial vehicle cluster information interaction. The method comprises the following steps: a step of determining an unmanned aerial vehicle cluster set and a position matrix of each cluster; a step of constructing a network topology structure of intra-cluster information interaction of each cluster; and a step of constructing a network topology structure of inter-cluster information interaction. According to the method, the unmanned aerial vehicle cluster is self-organizedby using the hierarchical clustering structure, and the mode of executing different tasks in different clusters is adopted, so that the problems that the scale of the unmanned aerial vehicle clusteris limited and information interaction only faces a single task are solved. Centralized control is adopted in a cluster in SCH topology of multi-task unmanned aerial vehicle cluster information interaction, a minimum spanning tree is calculated with a cluster head as a root to construct a network topology structure of any independent cluster, and therefore information interaction in all the independent clusters is completed. A spatial interaction gravitation model is introduced between the clusters to construct an inter-cluster network topology structure so as to complete information interaction between the unmanned aerial vehicle clusters.

Description

technical field [0001] The present invention relates to a network topology generation method, more particularly, refers to a hierarchical clustering network topology generated based on multi-task UAV cluster information interaction, and the generated hierarchical clustering network topology is referred to as SCH topology. Background technique [0002] With the continuous development of UAV technology, the application of UAV (Unmanned Aerial Vehicle, UAV) to carry out autonomous cooperative missions is increasing, the cluster size is increasing, the task diversity is increasing, and the information exchange between UAVs in the cluster is increasing. more often. UAVs have limited on-board power resources, and the endurance of UAVs can be improved by removing some redundant links in the communication network topology. On this basis, in order to ensure the efficiency and success rate of UAVs in completing tasks, it is necessary to design Reasonable network topology structure f...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04W84/18G05D1/10
CPCG05D1/104H04W84/18
Inventor 何锋董文奇
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products