Performance index prediction method for data access process in intelligent monitoring application

Abstract

The invention discloses a performance index prediction method for data access process in intelligent monitoring application, which comprises the following steps: S1) acquiring the number of communication nodes which initiate access requests in each frame according to a probability density function based on a Beta distribution model; S2) calculating the collision probability of the communication nodes which initiate the access requests in each frame through a total probability formula on the basis of the number of random access channels configured in each frame; S3) acquiring the average successful access probability of access nodes according to the number and the collision probability of the communication nodes which initiate the access requests in each frame; and S4) acquiring the average access delay of the communication nodes on the basis of a queuing model which considers the impacts of the collision of the communication nodes and a preset nodes-per-batch distribution model. By using a predication model for predicting key performance indexes, a guide foundation is provided for honeycomb-network-based intelligent monitoring service which is to be widely used in future and an improvement approach is provided for algorithm optimization.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a method for predicting performance indicators of a data access process in an intelligent monitoring application based on a cellular mobile communication network. Background technique [0002] With the development of modern science and technology, advanced information and communication technology has penetrated more and more into people's daily production and life. Applications such as smart communities (home), smart buildings, and electronic medical health fully demonstrate the convenience that modern communication technology brings to people's lives. Intelligent monitoring application is a kind of business with a wide range of applications. According to the application requirements of the industry, sensor nodes with different functions will be deployed in the front end to collect key parameters, so as to achieve the purpose of monitoring and measurement. Although intell...

AI Technical Summary

Problems solved by technology

In addition, since deploying the actual network will cost a lot of manpower, material and financial resources, and optimizing the network after deployment will further increase the cost of industrial applications, how to analyze the data in the intelligent monitoring application based on the cellular mobile communication system It is an important challenge in this research direction to conduct modeling analysis through the access process, so as to influence the design of the actual mechanism and the configuration of system parameters through the control of the model and the setting of key parameters.

Images