A Markov Model-Based Approach to Dependency Evaluation of Internet of Things Devices
An Internet of Things device and dependency technology, applied in the information field, can solve problems such as low efficiency, poor real-time performance and effectiveness, and difficulty in dealing with sensor information, so as to achieve the effect of improving efficiency, good real-time performance, and improving modern management level
Active Publication Date: 2018-01-09
BEIJING UNIV OF POSTS & TELECOMM
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[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
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[0059] The technical solution of the present invention will be further described in detail in conjunction with the accompanying drawings and embodiments.
[0060] figure 1 It shows a schematic flow chart of a Markov model-based IoT device dependency evaluation method in this embodiment, as shown in figure 1 As shown, this embodiment provides a Markov model-based method for evaluating the dependency of IoT devices, including:
[0061] S1, obtaining status information of IoT devices, traffic information between IoT devices, and traffic information between devices outside of IoT and IoT devices;
[0062] S2. Establishing a Markov model including a state set and a transition probability matrix according to the state information of the IoT device and the traffic information between the IoT devices;
[0063] S3, correcting and compensating the Markov model according to the flow information of the devices outside the Internet of Things and the devices of the Internet of Things, so ...
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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. The present invention provides a Markov model-based Internet of Things device dependency evaluation method, aiming at the real-time and randomness in network measurement, by automatically analyzing the obtained Internet of Things traffic information, and establishing the Markov relationship of device dependence. The husband model can analyze the dependencies of IoT devices in real time, which can improve the efficiency of IoT device management and reduce the manpower requirements in IoT device management. Modern management level provides theoretical guarantee and technical support. This method has a high degree of automation, is easy to deploy and implement, and has good real-time performance, and is more suitable for use in a large-scale dynamic Internet of Things environment.
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...
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IPC IPC(8): H04L12/24H04L12/26
Inventor 黄霁崴程渤陈俊亮
Owner BEIJING UNIV OF POSTS & TELECOMM