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Wireless cognitive network knowledge base constructing method based on Bayesian network

A technology of Bayesian network and cognitive network, which is applied in the direction of specific mathematical models, special data processing applications, instruments, etc., and can solve problems that cannot satisfy people

Inactive Publication Date: 2013-03-06
BEIHANG UNIV
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Problems solved by technology

[0002] With the continuous development of Internet technology, traditional services such as e-mail, file transfer and remote login can no longer meet people's needs

Method used

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  • Wireless cognitive network knowledge base constructing method based on Bayesian network
  • Wireless cognitive network knowledge base constructing method based on Bayesian network
  • Wireless cognitive network knowledge base constructing method based on Bayesian network

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Embodiment Construction

[0019] The implementation process of the wireless cognitive network knowledge base construction method based on Bayesian network, such as image 3 As shown, it mainly includes four parts: data perception, data discretization analysis, creation of Bayesian network model and knowledge transformation.

[0020] Data sensing refers to the sensing process in wireless cognitive networks. The perception process is mainly completed by periodically reading the wireless cognitive network protocol stack parameters, which are parameters that can reflect the current network performance. The network performance parameters in the wireless cognitive network are mainly divided into two types, one is an adjustable parameter, and the other is a perception parameter. The adjustable parameters mainly refer to the parameters that can be adjusted during the reconfiguration process of the wireless cognitive network, such as the data packet rate, MTU, etc.; the sensing parameters refer to the paramete...

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Abstract

The invention discloses a wireless cognitive network knowledge base constructing method based on a Bayesian network. A Bayesian network model is constructed by using perceived network performance parameters, so that the dependence among the parameters is obtained, and the conditional probability dependence is transformed into knowledge in a wireless cognitive network to be stored in a knowledge base for guiding a process of intelligent decision making. The process of constructing the knowledge base mainly comprises the steps of: perceiving the network performance parameters, discretizing and analyzing the parameters, constructing the Bayesian network model and transforming the knowledge to construct the knowledge base. The network performance parameters are collected through a perceiving process, and data is discretized and analyzed. Through a structure learning and parameter learning process, the Bayesian network model is constructed by using historical data. The conditional dependence among the parameters in the Bayesian network is transformed into the knowledge so that the knowledge base is constructed and updated.

Description

technical field [0001] The invention relates to the field of wireless cognitive networks, in particular to a method for constructing a wireless cognitive network knowledge base based on a Bayesian network. Background technique [0002] With the continuous development of Internet technology, traditional services such as e-mail, file transfer and remote login can no longer meet people's needs. At the same time, with the emergence of a large number of mobile smart terminal devices, services that can support mobile applications will have different requirements on the network itself. These new requirements prompt the network to redesign the network structure according to the variable needs of users. At this time, the concept of wireless cognitive network is proposed. A wireless cognitive network refers to a network with cognitive cycle characteristics, which can perceive the current network environment, and plan, make decisions, and execute according to these environments. Such ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06N7/00
Inventor 白跃彬杜念冬
Owner BEIHANG UNIV
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