Unlock instant, AI-driven research and patent intelligence for your innovation.

Method for dynamic prediction of maximum sending rate of LoRa terminal based on neural network

A technology of sending rate and neural network, which is applied in the field of predicting the maximum sending rate of LoRa terminal nodes, can solve the problem of low frequency of terminal sending data, achieve low power consumption, reduce the number of retransmissions, and improve the life expectancy

Active Publication Date: 2018-06-22
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF10 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, in order to achieve the low power consumption of LoRa and prolong the life of the entire network, it is necessary to minimize the energy consumption of the terminal nodes. Realize low power consumption, but there is a problem that the frequency of terminal sending data is very low

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
  • Method for dynamic prediction of maximum sending rate of LoRa terminal based on neural network
  • Method for dynamic prediction of maximum sending rate of LoRa terminal based on neural network
  • Method for dynamic prediction of maximum sending rate of LoRa terminal based on neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0028] In the embodiment of the present invention, the current terminal adopts six transmission rates of DR0 to DR5 specified in the LoRa protocol as an example for illustration. Where DR0<DR1<DR2<DR3<DR4<DR5. As shown in Table 1, the power consumption test of the terminal is tested by the power consumption test instrument Power Monitor; the power output interface of the Power Monitor outputs 3V DC power to the LoRa terminal; the Power Monitor is connected to the PC through the serial port, and the client software PowerTool can be used to Control the power supply and read the real-time working current. It can be seen that the larger the transmission rate, the shorter the transmission time, and thus the smaller the transmission power, that is, th...

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 method for dynamic prediction of a maximum sending rate of a LoRa terminal based on a neural network. The method is applied to the technical field of low-power-consumption wide area network communication. A neural network architecture is constructed, and the neural network is trained, so that the predicted maximum sending rate is obtained by inputting a signal-to-noise ratio and the signal intensity which are analyzed by a LoRa server into the neural network under a condition that normal communication is guaranteed; and the LoRa server informs the LORA terminal of themaximum sending rate, and the LoRa terminal sends the data at the maximum sending rate, so that an effect of reducing the power consumption of the terminal is achieved.

Description

technical field [0001] The invention belongs to the technical field of low-power wide-area network communication, and in particular relates to a technology for predicting the maximum transmission rate of a LoRa terminal node. Background technique [0002] The LoRaWAN network is a kind of LPWAN network, that is, a low-power wide area network. The life of the entire network depends on the power of the LoRa terminal battery. Ensuring that the terminal is connected to the server at the maximum rate can effectively reduce power consumption. The neural network algorithm can realize classification and clustering very well, and the signal-to-noise ratio (SNR) and received signal strength indication (RSSI) parameters are known on the server side to predict the maximum rate through the neural network algorithm. [0003] The full name of LoRa is "Long Rang", which is a low-power long-distance wireless communication technology based on spread spectrum technology, mainly for the Internet...

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): H04L12/24H04W28/22G06N3/08
CPCG06N3/084H04L41/142H04L41/145H04L41/147H04W28/22Y02D30/70
Inventor 刘强虞阁飞杨鲲冷甦鹏张科
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA