Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Bridging coefficient-based command and control network bridge edge identification method

A technology of command control and identification method, which is applied in the direction of data exchange network, transmission system, digital transmission system, etc., can solve the problems such as information flow and attenuation without consideration, and achieve the effect of improving invulnerability

Active Publication Date: 2018-07-06
DALIAN UNIVERSITY
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Existing research mostly evaluates the importance of edges based on the attributes of the nodes themselves. The research focuses on the degree or edge betweenness of the two ends of th

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
  • Bridging coefficient-based command and control network bridge edge identification method
  • Bridging coefficient-based command and control network bridge edge identification method
  • Bridging coefficient-based command and control network bridge edge identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] This embodiment provides a bridge edge recognition method for command and control network bridges based on bridging coefficients, and the specific steps are as follows:

[0057] Step 1: Establish a command and control network model and construct a network adjacency matrix; the above-mentioned construction of a command and control network model describes combat units as nodes, and links that constitute information transmission between combat units as edges, and uses complex network theory to establish command Control the network model; further, the combat units can be divided into reconnaissance units, command and control units, and fire strike units.

[0058] Step 2: Calculate the degree value of each node in the network, the degree value calculation formula is:

[0059]

[0060] Step 3: Calculate the number of common neighbor nodes at both ends of any edge in the network, the calculation formula is:

[0061]

[0062] in represents node v i with node v j The ...

Embodiment 2

[0074] This embodiment analyzes the key edges identified by the bridging coefficient-based command and control network bridge edge identification method proposed in the present invention, compares the average efficiency of the network in the case of random attacks and deliberate attack edges, and uses the edge deletion method to analyze the network Changes in parameters such as connectivity coefficient, ratio of maximum connected subgraph edge number, and average network efficiency illustrate the effectiveness of the method proposed in the present invention from different perspectives.

[0075] attached figure 1 It is a diagram illustrating the bridging phenomenon of the network. The critical edge of the command and control network is not only directly related to the nodes at both ends of the edge, but also related to the common neighbor nodes of the node. like figure 1 As shown, node v 4 with node v 6 There is an edge e between 4,6 , node v 4 degree is 5, node v 6 de...

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 bridging coefficient-based command and control network bridge edge identification method. The method specifically comprises steps of first, building a command and control network model, and constructing a network node adjacency matrix; second, performing statistical analysis on degree of each node in the network, wherein the degree of a node refers to a quantity of edgesdirectly connected with the node; third, calculating a number of public neighbor nodes of two ends of any edge in the network; fourth, calculating a number of edges connected between neighbor nodes oftwo ends of any edge in the network; fifth, calculating a number of all possible edges of two ends of any edge in the network and neighbor nodes of the two ends; sixth, calculating a bridging coefficient of each edge in the network; and seventh, calculating an edge critical degree of each edge in the network. The identified critical edges are protected, so that the invulnerability of the commandand control network is improved.

Description

technical field [0001] The invention belongs to the field of military command and control, and in particular relates to a method for identifying bridges in accusation networks based on bridging coefficients. Background technique [0002] The command and control network under the condition of informationization forms various nonlinear logical relationships through physical communication network connections, and the network structure has complex network characteristics such as nonlinearity, hierarchy, and adaptability. In informationized warfare, the accusation network, as the basis for capturing information superiority and then transforming it into decision-making and operational superiority, is the link connecting systems such as early warning and detection, command and control, and fire strikes, and it is also the link for all combat elements to fully exert their combat effectiveness and simultaneously carry out combat tasks. important guarantee. At present, most researche...

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): H04L12/24
CPCH04L41/142H04L41/145
Inventor 王运明陈小双潘成胜陈波
Owner DALIAN UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com