Access selection algorithm for heterogeneous wireless network based on DA optimized fuzzy neural network

To solve the access selection problem of heterogeneous wireless network, an access selection algorithm based on dragonfly algorithm (DA) optimized fuzzy neural network (FNN) was proposed, considering the user’s business type and network state.In view of the low convergence speed of the fuzzy neural...

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Bibliographic Details
Published inTongxin Xuebao Vol. 41; pp. 118 - 127
Main Authors Zhihong QIAN, Yinuo FENG, Jiani SUN, Xue WANG
Format Journal Article
LanguageChinese
Published Editorial Department of Journal on Communications 01.12.2020
Subjects
access selection
dragonfly algorithm
fuzzy neural network
heterogeneous wireless network
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ISSN1000-436X

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Summary:To solve the access selection problem of heterogeneous wireless network, an access selection algorithm based on dragonfly algorithm (DA) optimized fuzzy neural network (FNN) was proposed, considering the user’s business type and network state.In view of the low convergence speed of the fuzzy neural network, the dragonfly algorithm was used to optimize the membership function parameters of the second and fifth layers of the fuzzy neural network, so as to obtain the initial value of membership function parameters of the fuzzy neural network.The most suitable network was selected for the users according to their preference to the network and the output score of the network under different business types.The experimental results show that dragonfly algorithm optimization can improve the convergence speed of fuzzy neural network, improve system throughput, reduce blocking rate, and reduce switching times to some extent.
ISSN:1000-436X