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Research On Network Selection Algorithm Based On Service Type

Posted on:2020-02-07Degree:MasterType:Thesis
Country:ChinaCandidate:J M ChenFull Text:PDF
GTID:2428330596473177Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
At present,the fusion of various wireless networks has become the development trend of the next generation wireless communication networks.In heterogeneous wireless network environments,it is necessary to enable the terminals with multiple wireless interfaces to seamlessly access.Therefore,in the heterogeneous network wireless resource management,the key problem which is making the best of network resources to obtain multiple access gains will be solved.Network selection algorithm is one of the key technologies of heterogeneous network wireless resource management,which directly affects the network resource utilization.In this paper,the network selection algorithm of multiple wireless networks covering the same area is studied under different service types.Its main research contents are divided into the following three parts:Firstly,based on the improved genetic algorithm,a new selection algorithm for heterogeneous wireless network environments is proposed.The influence factors of positive and negative ideal solutions are introduced to construct an appropriate degree of closeness function,the selection ratio is introduced to improve the selection operator,and a crossover probability and a mutation probability are added to improve the crossover operator and mutation operator.The improved genetic algorithm is improved and applied to the heterogeneous wireless network scene to select the best access network.Secondly,based on the improved chicken swarm algorithm,a new selection algorithm for heterogeneous wireless network environments is proposed.The chaos optimization algorithm was used to initialize the place of chicken swarm,the proportional selection operator was used to select the individual rooster,the genetic algorithm was introduced to update the value of the hen,the learning factor was added to the hen position update,and the mutation operator was used to update the chicken position.The chicken swarm optimization is improved and applied to the heterogeneous wireless network scene to selectthe best access network.Thirdly,based on the improved AHP/TOPSIS algorithm,a new selection algorithm for heterogeneous wireless network environments is proposed.On the basis of the analytic hierarchy process(AHP),the judgment matrix is established by the index interval number scale method,and the judgment matrix is improved by adding mutation operator.On the basis of the basic technique for order preference by similarity to ideal solution(TOPSIS),the influence factors of each attribute on the network selection under different services are added.The AHP/TOPSIS algorithm is improved and applied to select the optimal network in heterogeneous wireless network selection scenario to select the best access network.
Keywords/Search Tags:Heterogeneous wireless networks, Genetic algorithm, Chicken swarm optimization, AHP algorithm, TOPSIS algorithm
PDF Full Text Request
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