Ubiquitous power Internet of Things access method based on context awareness learning

A power Internet of Things and perceptual learning technology, which is applied in the field of ubiquitous power Internet of Things access, can solve the problems of no service reliability and energy perception, low service reliability, and low realizability

Active Publication Date: 2020-05-19
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the channel selection scheme mainly includes the following two types. One is the channel selection scheme based on matching theory. The premise of this scheme is to know the global information of the network, and use a method similar to exhaustive matching to select the optima

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
  • Ubiquitous power Internet of Things access method based on context awareness learning
  • Ubiquitous power Internet of Things access method based on context awareness learning
  • Ubiquitous power Internet of Things access method based on context awareness learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0080] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description.

[0081] Such as figure 1 As shown, a ubiquitous power Internet of Things access method based on context-aware learning includes the following steps:

[0082] S1. Build a system model:

[0083] Such as figure 2 As shown, a base station serving cell contains a base station, an edge server, and multiple machines and devices; all machines and devices are divided into two categories according to their tolerance for network delay: one is N delay-sensitive Type machine equipment (with relatively high requirements for delay), that is, the device PU in the figure; the second is K delay-tolerant devices (with relatively low requirements for delay), that is, the device m in the figure. The device PU can access the channel as long as it sends a chan...

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 ubiquitous power Internet of Things access method based on context awareness learning. The method comprises the following steps: S1, constructing a system model; S2, refiningthe constructed system model to obtain a task data/transmission model, an energy consumption model and a time delay model; S3, constructing an optimization problem based on maximization of equipmentenergy efficiency; S4, based on the theory of the virtual queue and the Lyapunov optimization theory, converting the optimization problem; S5, realizing the optimization of channel selection through learning, and further realizing the maximization of energy efficiency. Based on the Lyapunov optimization theory, energy perception and service reliability perception are combined with learning, so themaximum and optimal energy utilization rate and service reliability can be achieved through learning, and the utilization efficiency of network energy and the reliability of network service are improved.

Description

technical field [0001] The invention relates to the electric power Internet of things, in particular to a method for accessing the ubiquitous electric power Internet of things based on context-aware learning. Background technique [0002] In the power Internet of Things, a large number of machines and equipment are required to realize automatic data collection, real-time data processing, and automatic optimization of energy management solutions. In such a working mode, these machines and devices will generate a large number of data tasks, and these tasks must be processed in real time to ensure the stable operation of the entire network. However, the resources of each machine device are limited, so there is a contradiction between a large number of tasks and limited resources. Edge computing can enable machines and devices to offload intensive computing tasks to nearby edge servers with powerful computing capabilities, thus becoming a promising solution to the above contrad...

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): H04W4/70H04W24/02H04W74/08
CPCH04W4/70H04W24/02H04W74/0833Y02D30/70
Inventor 周振宇廖海君潘超
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap