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

Network link quality prediction method and device, and readable storage medium

A link quality and quality prediction technology, applied in the field of communication data processing, can solve the problems of large artificial dependence and limit the actual prediction of network link quality, and achieve the effect of reducing human interference, improving prediction efficiency and prediction accuracy.

Active Publication Date: 2019-01-01
NANCHANG HANGKONG UNIVERSITY
View PDF3 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Based on this, the purpose of the present invention is to solve the problem that the actual prediction of network link quality will be limited to a certain extent due to the large dependence on manual work when the existing link quality is predicted

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
  • Network link quality prediction method and device, and readable storage medium
  • Network link quality prediction method and device, and readable storage medium
  • Network link quality prediction method and device, and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the associated drawings. A preferred embodiment of the invention is shown in the drawings. However, the present invention can be embodied in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that the disclosure of the present invention will be thorough and complete.

[0047] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention. As used herein, the term "and / or" includes any and all combinations of one or more of the associated listed items.

[0048]Current...

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 relates to a network link quality prediction method and device, and a readable storage medium. The network link quality prediction method includes the following steps: acquiring link quality sample data in multiple different experimental scenes, and performing link quality grading on the link quality sample data by using a non-supervision clustering algorithm; calculating and evaluating the link quality sample data by using a random forest classification algorithm to obtain a corresponding link quality grade value, and extracting a training set from the link quality sample data to construct a combined classification model; and constructing a random forest regression tree model, and predicting the link quality grade value at the next moment according to the link quality gradevalue and the output result of the combined classification model. The network link quality prediction method can effectively reduce man-made interference during the link quality prediction process, soas to improve the prediction efficiency and the prediction accuracy.

Description

technical field [0001] The invention relates to the technical field of communication data processing, in particular to a network link quality prediction method, device and readable storage medium. Background technique [0002] In the field of electronic communication technology, the wireless sensor network is composed of a large number of cheap micro sensor nodes deployed in the monitoring area, and forms a multi-hop self-organizing network through wireless communication. Wireless sensor networks seamlessly connect the logical information world and the objective physical world, and have been widely used in military, medical care, environmental monitoring, smart home and many other fields. [0003] At present, the research on link quality prediction of wireless sensor networks at home and abroad can be mainly divided into: link quality prediction based on link characteristics, link quality prediction based on probability estimation theory, and link quality prediction based on...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24H04L12/26H04W24/06G06K9/62
CPCH04L41/145H04L41/147H04L43/08H04W24/06H04L41/142G06F18/214G06F18/241
Inventor 刘琳岚高声荣舒坚
Owner NANCHANG HANGKONG 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