Fuzzy and Utility Based Network Selection for Heterogeneous Networks in High-Speed Railway
Due to the complexity and fluctuation of the wireless network statuses in the high-speed railway scenario, the existing works of the network selection problem in heterogeneous wireless networks face two major challenges, that is, the imprecise statuses and mobility. In this paper, we propose FSNS, a...
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| Veröffentlicht in: | Wireless communications and mobile computing 2017-01, Vol.2017 (2017), p.1-14 |
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| creator | Zhang, Hongke Zheng, Tao Dong, Ping Yan, Xiaoyun |
| description | Due to the complexity and fluctuation of the wireless network statuses in the high-speed railway scenario, the existing works of the network selection problem in heterogeneous wireless networks face two major challenges, that is, the imprecise statuses and mobility. In this paper, we propose FSNS, a novel dynamic imprecise-aware network selection approach to solve the problems. The imprecise statuses are inferred by fuzzy rules and the status-awareness feature of the status monitor module enables a dynamic network selection. Through the status monitor and fuzzy processing modules, FSNS is formulated as utility functions for meeting quality-of-service (QoS) requirements. What is more, we carry out plenty of simulation experiments and compare FSNS approach with an enhanced TOPSIS method and fuzzy MADM (FMADM) scheme through simulation experiments of two types of services. The results indicate that FSNS outperforms both TOPSIS and FMADM for a good performance improvement and a preferable decision to keep relative stability and reduce abnormal selections. The conclusion of experimental results has some extent pragmatic value since the network statuses of the simulation are complex and fluctuate by real-world data from high-speed railways. |
| doi_str_mv | 10.1155/2017/4967438 |
| format | Article |
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In this paper, we propose FSNS, a novel dynamic imprecise-aware network selection approach to solve the problems. The imprecise statuses are inferred by fuzzy rules and the status-awareness feature of the status monitor module enables a dynamic network selection. Through the status monitor and fuzzy processing modules, FSNS is formulated as utility functions for meeting quality-of-service (QoS) requirements. What is more, we carry out plenty of simulation experiments and compare FSNS approach with an enhanced TOPSIS method and fuzzy MADM (FMADM) scheme through simulation experiments of two types of services. The results indicate that FSNS outperforms both TOPSIS and FMADM for a good performance improvement and a preferable decision to keep relative stability and reduce abnormal selections. The conclusion of experimental results has some extent pragmatic value since the network statuses of the simulation are complex and fluctuate by real-world data from high-speed railways.</description><identifier>ISSN: 1530-8669</identifier><identifier>EISSN: 1530-8677</identifier><identifier>DOI: 10.1155/2017/4967438</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Adaptation ; Algorithms ; Business metrics ; Complexity ; Decision making ; Design ; Distance learning ; Experiments ; Fuzzy logic ; High speed rail ; Markov analysis ; Mathematical models ; Methods ; Modules ; Public lands ; Simulation ; Utility functions ; Wireless networks</subject><ispartof>Wireless communications and mobile computing, 2017-01, Vol.2017 (2017), p.1-14</ispartof><rights>Copyright © 2017 Xiaoyun Yan et al.</rights><rights>Copyright © 2017 Xiaoyun Yan et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c426t-d2bb297896316eb9aa13d97d43afd1395fedb53c7f2e59afadcfd1650ac60b643</citedby><cites>FETCH-LOGICAL-c426t-d2bb297896316eb9aa13d97d43afd1395fedb53c7f2e59afadcfd1650ac60b643</cites><orcidid>0000-0001-9124-7727 ; 0000-0002-5842-7264 ; 0000-0002-1677-6466</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><contributor>Xuefeng, Yin</contributor><contributor>Yin Xuefeng</contributor><creatorcontrib>Zhang, Hongke</creatorcontrib><creatorcontrib>Zheng, Tao</creatorcontrib><creatorcontrib>Dong, Ping</creatorcontrib><creatorcontrib>Yan, Xiaoyun</creatorcontrib><title>Fuzzy and Utility Based Network Selection for Heterogeneous Networks in High-Speed Railway</title><title>Wireless communications and mobile computing</title><description>Due to the complexity and fluctuation of the wireless network statuses in the high-speed railway scenario, the existing works of the network selection problem in heterogeneous wireless networks face two major challenges, that is, the imprecise statuses and mobility. 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In this paper, we propose FSNS, a novel dynamic imprecise-aware network selection approach to solve the problems. The imprecise statuses are inferred by fuzzy rules and the status-awareness feature of the status monitor module enables a dynamic network selection. Through the status monitor and fuzzy processing modules, FSNS is formulated as utility functions for meeting quality-of-service (QoS) requirements. What is more, we carry out plenty of simulation experiments and compare FSNS approach with an enhanced TOPSIS method and fuzzy MADM (FMADM) scheme through simulation experiments of two types of services. The results indicate that FSNS outperforms both TOPSIS and FMADM for a good performance improvement and a preferable decision to keep relative stability and reduce abnormal selections. 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| subjects | Adaptation Algorithms Business metrics Complexity Decision making Design Distance learning Experiments Fuzzy logic High speed rail Markov analysis Mathematical models Methods Modules Public lands Simulation Utility functions Wireless networks |
| title | Fuzzy and Utility Based Network Selection for Heterogeneous Networks in High-Speed Railway |
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