Check patentability & draft patents in minutes with Patsnap Eureka AI!

A method and system for cloud-edge collaborative sensing

A collaborative sensing and edge model technology, applied in the field of cloud computing, can solve the problem of low sensing accuracy of a single edge node, achieve the effects of reducing computing burden, protecting user privacy, and accurate sensing

Active Publication Date: 2021-10-26
BEIJING UNIV OF POSTS & TELECOMM
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide a method and system for cloud-edge collaborative sensing to solve the technical problem of low sensing accuracy of a single edge node in the prior art

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
  • A method and system for cloud-edge collaborative sensing
  • A method and system for cloud-edge collaborative sensing
  • A method and system for cloud-edge collaborative sensing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0060] With the advent of the Internet of Things era, smart phones, monitoring stations, surveillance cameras and other sensing devices are used in various fields, and heterogeneous perception data are generated through these sensing devices

[0061] The TSensors Summit predicts that by 2025, sensors will generate data on the order of 1,000 terabytes. On the other hand, the rise of Artificial Intelligence (AI), which focuses on deep learning, off...

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

Embodiments of the present invention provide a method and system for cloud-edge collaborative sensing, wherein each edge node acquires and adopts an elastic update algorithm to combine the weighted results between the global model parameters and the edge model of the last communication round, Updating the edge model of the previous round of communication to obtain the edge model of this communication round; according to the local training set, training the edge model of this communication round to obtain a new edge model, and then obtain the final edge model. Through multiple elastic updates, the edge model is trained using the local training set, and the final edge model obtained is closer to the actual perception, thereby achieving more accurate perception.

Description

technical field [0001] The present invention relates to the field of cloud computing, in particular to a method and system for cloud-edge collaborative sensing. Background technique [0002] With the advent of the Internet of Things era, sensing devices such as smartphones, monitoring stations, and surveillance cameras are used in various fields, and heterogeneous perception data are generated through these sensing devices. Generally, the heterogeneous sensing data is given to the cloud server, and centralized learning is performed by aggregating the sensing data on the cloud server. [0003] Due to the relatively large computational load of cloud server centralized learning, for large-scale IoT perception, cloud server centralized learning becomes impractical. However, the sensing device is set in the edge node, which has storage and computing capabilities. Therefore, sensory data learning can be used at edge nodes. However, for a single edge node, the data it collects i...

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 Patents(China)
IPC IPC(8): H04L29/08H04L12/24
CPCH04L41/0823H04L41/145H04L67/025H04L67/1004H04L67/1095H04L67/1097H04L67/12
Inventor 刘亮马华东高雨佳
Owner BEIJING UNIV OF POSTS & TELECOMM
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com