Network selection method based on grey relational analytic hierarchy

A technology of gray-scale correlation and network selection, applied in network planning, access restrictions, electrical components, etc., can solve problems such as long construction period, impact on substation commissioning and use, and inability to meet various business needs, and achieve strong adaptability Effect

Active Publication Date: 2018-02-23
NANJING NARI GROUP CORP +1
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Problems solved by technology

[0002] With the development of the power industry, the scale of the power grid is gradually expanding, and the network topology is becoming more and more complex. The current backbone network of power communication based on optical fiber communication can no l

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  • Network selection method based on grey relational analytic hierarchy
  • Network selection method based on grey relational analytic hierarchy
  • Network selection method based on grey relational analytic hierarchy

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Embodiment Construction

[0063] Below in conjunction with accompanying drawing and specific embodiment the technical solution of the present invention is described in further detail:

[0064]The invention discloses a network selection method based on gray level correlation hierarchical analysis in a power wireless communication system, which can effectively solve the network selection problem that the network decision attribute is not a monotone function. This method first uses the AHP to determine the decision attribute weights according to different business requirements and the entropy weight method to calculate the decision attribute weights according to the actual network parameters, then linearly superimposes the two types of weights, and then uses the gray level correlation method to select the one with the highest correlation with the reference network. As the optimal network, the network not only considers the attribute information of the network itself, but also reflects the needs of users un...

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Abstract

The invention discloses a network selection method based on grey relational analytic hierarchy. The network selection method comprises the following steps of (1) utilizing an analytic hierarchy, establishing a hierarchical order and constructing a judgment matrix (formula); (2) calculating a normalized weight omegaj; (3) utilizing an entropy weight method, constructing an evaluation matrix (formula) and normalizing the evaluation matrix; (4) solving an entropy Ej of a decision-making property, and calculating the entropy weight phij; (5) utilizing a grey relational method, constructing a global decision matrix (formula) and finding out a group of reference solutions (formula); and (6) calculating a grey relational grade (formula), carrying out grey multi-attribute judgment (formula) and selecting a network having a largest correlation coefficient with the reference network as the optimal network. According to the method, the best network which is most matched with the reference networkis selected according to the grey correlation method, the problem that the network decision-making property is not a network selection problem of a monotonous function can be effectively solved.

Description

technical field [0001] The invention relates to a network selection method based on gray level correlation hierarchy analysis in a power wireless communication system, belonging to the technical field of wireless communication. Background technique [0002] With the development of the power industry, the scale of the power grid is gradually expanding, and the network topology is becoming more and more complex. The current backbone network of power communication mainly based on optical fiber communication can no longer meet the needs of various services. For long-distance access nodes, directly laying optical fiber lines is expensive and lacks practical value; under sudden disasters, it is difficult to repair fiber optic line failures in time; Substation commissioning. In these fields where wired communication cannot play a key role, the application of wireless communication network technology and its networking system can provide high-quality communication guarantee. [00...

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Application Information

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IPC IPC(8): H04W16/22H04W48/18
CPCH04W16/22H04W48/18
Inventor 冯宝赵高峰刘金锁李洋张立武蔡世龙刘文贵马涛丁晨阳胡阳胡倩倩高雪龚亮亮
Owner NANJING NARI GROUP CORP
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