Internet of things (IOT) method based on cognitive technology

Abstract

The invention discloses an Internet of things (IOT) method based on a cognitive technology. In the method, a monitoring layer, a decision layer and a control layer are utilized, wherein the monitoring layer collects and processes the network layer information of the IOT; the decision layer makes a decision according to the information provided by the monitoring layer, a corresponding decision is directly used if a matched decision exists in the decision layer, and otherwise, a machine learning method is used for obtaining a new strategy; the control layer takes the corresponding action according to the decision made by the decision layer, and controls in a mode of terminal path synergy; and only a terminal in the network is adjusted. In the IOT method, a cognitive plane is added in the network layer of the traditional IOT so as to optimize the structure of the network layer, thus alleviatiing the problem of network congestion and the like in the traditional network. The cognitive plane is divided into the monitoring layer, the intelligent decision layer and the control layer. In the framework, the real-time state information of the network is circulated in the cognitive plane and the network layer of the IOT so as to guarantee the QoS (quality of service) of the network.

Description

technical field [0001] The invention proposes a cognitive technology-based Internet of Things method for reference to the cognitive network architecture. The main research is how to introduce cognitive technology into the Internet of Things, establish an Internet of Things architecture based on cognitive technology, and enable the Internet of Things to have the capabilities of self-perception, self-decision, self-management and self-control to ensure the QoS of the Internet of Things. The method involves technical fields such as business identification, QoS, artificial intelligence, and cognitive technology. Background technique [0002] Cognitive technology refers to the cognition and definition of the radio environment or network status, and on this basis, the transmission parameters can be flexibly and dynamically changed to maximize the efficiency of spectrum utilization. At present, there are two specific applications of cognitive technology: cognitive radio and cognit...

AI Technical Summary

Problems solved by technology

[0005] 1. The existing Internet of Things architecture can only deal with problems after the network has problems, and there is a lag, which will inevitably affect the QoS of the Internet of Things;

[0006] 2. The existing Internet of Things architecture does not have the ability of self-management, self-learning, and self-optimization, and can only change the network configuration according to the preset threshold

[0007] 3. Every time the network is adjusted, the entire link is affected, and the cost of adjusting the network is too high

Images