An intelligent selection method based on game theory in heterogeneous wireless networks
Bandwidth; Game theory; Heterogeneous networks; Quality of service; Radio systems; Wireless networks; Always best connected; Available bandwidth; Heterogeneous wireless network; Intelligent method; Noncooperative game; Rich media services; Vertical handovers; Wireless environment; Next generation ne...
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Wiley Blackwell
2023
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my.uniten.dspace-226082023-05-29T14:11:19Z An intelligent selection method based on game theory in heterogeneous wireless networks Salih Y.K. See O.H. Ibrahim R.W. 55358052500 16023044400 16319225300 Bandwidth; Game theory; Heterogeneous networks; Quality of service; Radio systems; Wireless networks; Always best connected; Available bandwidth; Heterogeneous wireless network; Intelligent method; Noncooperative game; Rich media services; Vertical handovers; Wireless environment; Next generation networks In next-generation networks, users can optimize the choice with seamless transfer of different access technologies to maximize cost saving and improve quality of service. In such heterogeneous wireless environments, users equipped with multimode wireless devices that can access rich media services via one or more access networks. These networks may differ in terms of monetary cost, coverage range, technology, available bandwidth, energy usage and so on. The new challenge faced by network operators is to ensure users always connect to the best available network, whenever they want and wherever they are or another word to stay Always-Best-Connected. Therefore, a new intelligent method is proposed here to optimize vertical handover in selection processes to ensure Always-Best-Connected in heterogeneous wireless networks. The proposed solution identifies a new game network selection model for choosing the best connections from different candidate wireless networks. The selected network should satisfy the typical user demands. The proposed selection model is implemented by using the non-cooperative game model. The proposed solution is evaluated through in-depth analysis and simulation-based testing. Results clearly prove that the proposed solution exhibits the highest performance compared with other solutions. Copyright � 2016 John Wiley & Sons, Ltd. Copyright � 2016 John Wiley & Sons, Ltd. Final 2023-05-29T06:11:19Z 2023-05-29T06:11:19Z 2016 Article 10.1002/ett.3102 2-s2.0-84987664727 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84987664727&doi=10.1002%2fett.3102&partnerID=40&md5=d602368841a912e24059b866486e99f8 https://irepository.uniten.edu.my/handle/123456789/22608 27 12 1641 1652 Wiley Blackwell Scopus |
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Universiti Tenaga Nasional |
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Malaysia |
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Universiti Tenaga Nasional |
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http://dspace.uniten.edu.my/ |
| description |
Bandwidth; Game theory; Heterogeneous networks; Quality of service; Radio systems; Wireless networks; Always best connected; Available bandwidth; Heterogeneous wireless network; Intelligent method; Noncooperative game; Rich media services; Vertical handovers; Wireless environment; Next generation networks |
| author2 |
55358052500 |
| author_facet |
55358052500 Salih Y.K. See O.H. Ibrahim R.W. |
| format |
Article |
| author |
Salih Y.K. See O.H. Ibrahim R.W. |
| spellingShingle |
Salih Y.K. See O.H. Ibrahim R.W. An intelligent selection method based on game theory in heterogeneous wireless networks |
| author_sort |
Salih Y.K. |
| title |
An intelligent selection method based on game theory in heterogeneous wireless networks |
| title_short |
An intelligent selection method based on game theory in heterogeneous wireless networks |
| title_full |
An intelligent selection method based on game theory in heterogeneous wireless networks |
| title_fullStr |
An intelligent selection method based on game theory in heterogeneous wireless networks |
| title_full_unstemmed |
An intelligent selection method based on game theory in heterogeneous wireless networks |
| title_sort |
intelligent selection method based on game theory in heterogeneous wireless networks |
| publisher |
Wiley Blackwell |
| publishDate |
2023 |
| _version_ |
1806427319833722880 |
| score |
13.214268 |