Abstract
This paper focuses on the concept of the seamless mobility (provided by vertical handover mechanisms) in heterogeneous Future Internet Networks in the context of the HURRICANE project. We discuss future open collaborative network architectures and propose a set of entities that ensure seamless mobility and service continuity, from infrastructural/operational and business standpoints: an 802.21-like implementation of vertical handover, supported by an innovative business modelling software package, which replaces the traditional operations support stack with a more dynamic, marketplace-oriented system. We also discuss, an approach to distributed, policy-based, vertical handover management and a model for such policies, based on the monitorization and analysis of Call Detail Records that reveals users’ behavioural patterns and allows personalization.
The presented work is supported by the project INFSO-ICT-216006//HURRICANE/ /(Handovers for Ubiquitous and optimal bRoadband connectIvity among CooperAtive Networking Environments), which is partly funded by the European Union.
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INFSO-ICT-216006 HURRICANE (Handovers for Ubiquitous and optimal bRoadband connectIvity among CooperAtive Networking Environments), http://www.ict-hurricane.eu
IEEE P802.21, EEE Standard for Local and metropolitan area networks - Part 21: Media Independent Handover Services. IEEE Computer Society (January 21, 2009)
IEEE P1900.4, IEEE Standard for Architectural Building Blocks Enabling Network-Device Distributed Decision Making for Optimized Radio Resource Usage in Heterogeneous Wireless Access Networks. IEEE Communications Society (February 27, 2009)
Call Detail Records for UNI 1.0 Billing, version OIF-CDR-01.0, Optical Internetworking Forum (April 2, 2002)
Specht, D.F.: Probabilistic Neural Networks. Neural Networks 3(1), 109–118 (1990)
Fawcett, T., Provost, F.: Adaptive Fraud Detection. Data Mining and Knowledge Discovery 1, 291–316 (1997)
Dasgupta, K., Singh, R., Viswanathan, B., Chakraborty, D., Mukherjea, S., Nanavati, A.: SocialTies and their Relevance to Churn in Mobile TelecomNetworks. University of Maryland, Baltimore County
Chih-Ping, W., I-Tang, C.: Turning telecommunications call details to churn prediction: a datamining approach. Expert Systems with Applications 23, 103–112 (2002)
Lee, J., Park, S.: Intelligent profitable customers segmentation system based on business intelligence tools. Expert Systems with Applications 29, 145–152 (2005)
Wallsten, Scott, J.: Telecommunications investment and traffic in developing countries: The effects of international settlement rate reforms. Journal of Regulatory Economics 20(3), 307–323 (2001), http://ideas.repec.org/a/kap/regeco/v20y2001i3p307-23.html
London Stock Exchange website, http://www.londonstockexchange.com/
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Dimitriou, N. et al. (2012). Architectures and Tools Enabling Seamless Mobility in Future Collaborative Networks. In: Rodriguez, J., Tafazolli, R., Verikoukis, C. (eds) Mobile Multimedia Communications. MobiMedia 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 77. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35155-6_29
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DOI: https://doi.org/10.1007/978-3-642-35155-6_29
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