Markov model-based evaluation method for dependency degree of IoT (internet of things) equipment

Abstract

The invention relates to the technical field of information, in particular to a Markov model-based evaluation method for dependency degree of IoT (internet of things) equipment. According to the Markov model-based evaluation method for the dependency degree of the IoT (internet of things) equipment, provided by the invention, in allusion to the real-time property and randomness existing in internet measurement, by automatically analyzing obtained flow information in IoT, a Markov model for the dependence relationship of the equipment is established; real-time analysis is performed on the dependence relationship of the IoT equipment, and therefore the efficiency of IoT equipment management can be improved, the manpower requirement in the IoT equipment management is lowered, and a theoretical guarantee and a technical support are provided for deeply understanding IoT characteristics, optimizing IoT resource allocation, improving the modern management level of the IoT equipment, and the like. The Markov model-based evaluation method is high in degree of automation, easy in deployment and implementation and good in real-time property, and is more suitable for use in large-scale dynamic IoT environments.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a Markov model-based method for evaluating the dependency degree of Internet of Things devices. Background technique [0002] With the continuous development of information technology, the Internet of Things has gradually emerged and led a new technological revolution. It is produced and developed on the basis of the Internet, and extends and expands the client terminal to any item and item to realize information exchange and communication. The Internet of Things puts human economic and social life, production activities and personal activities in a smart network environment, provides intelligent perception, intelligent decision-making and other capabilities, and provides unprecedented opportunities for technological innovation and industrial development. [0003] In the Internet of Things, there are often many sensing devices, and the number can even reach tens of thousand...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the defects of low efficiency, difficulty in coping with a huge number of sensor information, and poor real-time performance and effectiveness in existing interdependence evaluation methods between IoT devices, the present invention provides a Markov model-based IoT Equipment Dependency Evaluation Method

Images