Game-Theoretic Approach for Network Access Selection in Heterogeneous Integrated Networks

Chen, Qianbin; Zhou, Wei-Guang; Chai, Rong; Tang, Lun

doi:10.3724/sp.j.1016.2010.01643

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…For the research of admission control mechanism of cognitive networks built on the basis of heterogeneous networks, academics put forward a series of access methods. In order to make terminals choose the optimal access network, Chen proposed a user-oriented visualized operational scheme at user terminal for heterogeneous network access selection, to determine the optimal access network by solving the Nash equilibrium (Chen et al, 2010). Bheemarjuna R .T.…”

Section: Introductionmentioning

confidence: 99%

A Self-adaptive Access Selection Algorithm for Cognitive Networks Based on Fuzzy Neural Networks

2016

Revista de la Facultad de Ingeniería

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In order to improve the performance of access network and terminal services, an intelligent access selection algorithm based on fuzzy neural networks is presented. By establishing fuzzy neural networks that meets specific needs, network bandwidth, delay, load balancing at network side and moving speed at terminal-side are considered as access factors determined the pros and cons for access network. Then, fuzzification of access factors above by fuzzy logic is done, and fuzzy neural networks are employed to inference. At last, the optimal access network can be selected. To improve the performance of parameters learning, a fuzzy particle swarm optimization algorithm is proposed. Compared to the basic particle swarm optimization algorithm, fuzzy particle swarm optimization can overcome the disadvantages that convergence speed slows down even tends to stagnate in the latter, ensure parameter optimization quality for fuzzy neural networks. Experimental results show the intelligent access selection algorithm can reduce terminal access blocking rate and packet loss rate, as well as increase the average throughput of access network effectively.

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Section: Introductionmentioning

confidence: 99%

A Self-adaptive Access Selection Algorithm for Cognitive Networks Based on Fuzzy Neural Networks

2016

Revista de la Facultad de Ingeniería

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The Inter-Cluster Routing Algorithm in Wireless Sensor Network Based on the Game Theory

Zhao

Zhang

Hongyao

et al. 2013

2013 Fourth International Conference on Digital Manufacturing &Amp; Automation

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User-Oriented Network Selection in Heterogeneous Integrated Networks

Wang

Dong

2011

2011 7th International Conference on Wireless Communications, Networking and Mobile Computing

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End-users are anticipated to have more freedom in dynamically connecting to any service provider for any service through their multi-mode terminals in the next generation heterogeneous integrated networks. This paper proposes a novel analytical framework of such a mechanism, which allows a user to freely determine one of the selection criteria, and to freely select one of the accessible networks to connect with according to his willingness. For this purpose we define the user-centric QoS and user-centric cost, and derive their expressions. We also analyses the impact that different parameters on the user expected QoS using simulation.Index Terms-network selection, QoS(quality of service), useroriented, multi-mode terminal.

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Game-Theoretic Approach for Network Access Selection in Heterogeneous Integrated Networks

Cited by 3 publications

References 8 publications

A Self-adaptive Access Selection Algorithm for Cognitive Networks Based on Fuzzy Neural Networks

A Self-adaptive Access Selection Algorithm for Cognitive Networks Based on Fuzzy Neural Networks

The Inter-Cluster Routing Algorithm in Wireless Sensor Network Based on the Game Theory

User-Oriented Network Selection in Heterogeneous Integrated Networks

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