Heterogeneous wireless network selection method based on normal fuzzy number

Abstract

The invention discloses a heterogeneous wireless network selection method based on a normal fuzzy number. The method specifically comprises the following steps: (1) obtaining network data and a current service type; (2) constructing a decision matrix and performing normalization processing; (3) constructing a Fuzzy-AHP normal fuzzy matrix under the service; (4) calculating network attribute weights by using a normal fuzzy extension analysis method based on normal fuzzy numbers; (5) multiplying the attribute values in the decision matrix by the corresponding weights to obtain a weighted decision matrix; and (6) calculating a network score by using the TOPSIS method to select the best network. According to the heterogeneous wireless network selection method, the Fuzzy-AHP is combined with the normal fuzzy number, and the network attribute weights are calculated by using a normal membership function and the normal fuzzy number, thereby improving the problem that the traditional triangularfuzzy number mutation point does not meet the transition gradient, and the network selection correct rate is improved.

Description

technical field [0001] The invention belongs to the field of heterogeneous wireless networks, in particular to a method for selecting heterogeneous wireless networks based on normal fuzzy numbers. Background technique [0002] In a heterogeneous wireless network, different networks have different network attributes, and different services of users also have different requirements for network attributes, and users often use vague language such as "very important" and "not important" to attach importance to different services. Formal expression, difficult to express into a definite value. Therefore, how to ensure that users can obtain QoS-guaranteed services at any time and place, and how to accurately define the importance users attach to different network attributes are the core issues for vertical handover and network selection in heterogeneous wireless networks. Fuzzy logic is a mathematical method between the symbolic reasoning of artificial intelligence and the numerica...

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Problems solved by technology

[0003] At present, the Fuzzy-AHP method formed by the combination of AHP and fuzzy logic uses the membership function of triangular fuzzy numbers to convert the importance between two attributes from semantics to numerical values, but the membership function of triangular fuzzy numbers is a linear membership Although the function shape is continuous, there are mutation points, that is, the first-order derivative of the function is discontinuous, which does not conform to the gradual change characteristics of the intermediary transitional nature, and cannot objectively reflect people's choice of importance

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