Abstract
Next-generation wireless environment depends on the multiple networks supported by different operators for various applications. In this heterogeneous environment, users can connect to various radio access networks and have seamless connectivity. Network selection plays a vital role for the users to connect to the best access network available because each access network differs in bandwidth, cost, energy usage, and coverage area. In this paper, an access network selection method to select the best suitable network is proposed. Game theoretic approaches are used for the strategy between the user and network to form cooperation so that users can get better QoS at a reasonable cost and each access network can increase their revenue.
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References
Wang HJ, Katz RH, Giese J (1999) Policy-enabled handoffs across heterogeneous wireless networks. In: Proceedings of second IEEE workshop on mobile computing systems and applications, (WMCSA)
Bakmaz B, Bojkovic Z, Bakmaz M (2007) Network selection algorithm for heterogeneous wireless network environment. In: IEEE international symposium on personal, indoor and mobileradio communications, (PIMRC)
Song Q, Jamalipour A (2005) A network selection mechanism for next generation networks. In: IEEE international conference on communications, (ICC)
Liu B, Tian H, Wang B, Fan B (2014) AHP and game theory based approach for network selection in heterogeneous wireless networks. In: The 11th annual IEEE CCNC-wireless communications track, pp 501–506
Machado R, Tekinay S (2008) A survey of game-theoretic approaches in wireless sensor networks. Comput Netw 52(16):3047–3061
Wang B, Wu Y, Ray Liu KJ (2010) Game theory for cognitive radio networks: an overview”. Comput Netw 54(14):2537–2561
Sengupta S, Anand S, Chatterjee M, Chandramouli R (2009) Dynamic pricing for service provisioning and network selection in heterogeneous networks. Phys Commun 2(1):138–150
Malanchini I, Cesana M, Gatti N (2013) Network selection and resource allocation games for wireless access networks. IEEE Trans Mob Comput 12:2427–2440
Xu Y, Wang J, Wu Q, Anpalagan A, Yao Y (2012) Opportunistic spectrum access in cognitive radio networks: global optimization using local interaction games. IEEE J Sel Top Signal Process 6(2):180–194
Alpcan T, Başar T, Dey S (2006) A power control game based on outage probabilities for multicell wireless data networks. IEEE Trans Wirel Commun 5:890–899
Trestian R, Ormond O, Muntean G-M (2011) Reputation-based network selection mechanism using game theory. Phys Commun 4:156–171
Charilas DE, Panagopoulos AD (2010) A survey on game theory applications in wireless networks. Comput Netw 54(18):3421–3430
Khan MA, Touseef U, Marx S, Goerg C (2010) Game-theory based user centric network selection with media independent handover services and flow management. In: Eighth annual research conference on communication networks and services (CNSR)
Charilas DE, Panagopoulos AD, Vlacheas P, Markaki OI, Constantinou P (2009) Congestion avoidance control through non-cooperative games between customers and service providers. In: International Conference on mobile lightweight wireless systems (mobilight)
Antoniou J, Papadopoulo V, Vasiliou V, Pitsillides A (2010) Cooperative user-network interactions in next generation communication networks. Comput Netw 54(13):2239–2255
Mahmud K, Inoue M, Murakami H, Hasegawa M, Morikawa H (2004) Measurement and usage of power consumption parameters of wireless interfaces in energy-aware multi-service mobile terminals. In: IEEE international symposium on personal, indoor and mobile radio communications, (PIMRC)
Nguyen-Vuong Q-T, Ghamri-Doudane Y, Agoulmine N (2008) On utility models for access network selection in wireless heterogeneous networks. In: IEEE network operations and management symposium, (NOMS)
Trestian R, Moldovan AN, Muntean CH, Ormond O, Muntean GM (2012) Quality utility modelling for multimedia applications for Android mobiledevices. In: Proceedings of IEEE international symposium on BMSB
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Rajesh, L., Boopathy Bagan, K., Ramesh, B. (2017). User Demand Wireless Network Selection Using Game Theory. In: Nath, V. (eds) Proceedings of the International Conference on Nano-electronics, Circuits & Communication Systems. Lecture Notes in Electrical Engineering, vol 403. Springer, Singapore. https://doi.org/10.1007/978-981-10-2999-8_4
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DOI: https://doi.org/10.1007/978-981-10-2999-8_4
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