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Author(s): Moura, J.
Marinheiro, R.
Silva, J.
Editor: Ramona Trestian
Gabriel-Miro Muntean
Date: 2014
Title: Game theory for collaboration in future networks
Book title/volume: Convergence of broadband, broadcast, and cellular network technologies
Pages: 94 - 123
Reference: Moura, J., Marinheiro, R. & Silva, J. (2014). Game theory for collaboration in future networks. Em R. Trestian, & G.-M. Muntean (Eds.). Convergence of broadband, broadcast, and cellular network technologies. (pp. 94-123). IGI Gobal.
ISBN: 9781466659780
DOI (Digital Object Identifier): 10.4018/978-1-4666-5978-0.ch005
Keywords: Evolutionary game theory
Future networks
Intelligent management
Política de preços -- Pricing policy
Abstract: Cooperative strategies have the great potential of improving network performance and spectrum utilization in future networking environments. This new paradigm in terms of network management, however, requires a novel design and analysis framework targeting a highly flexible networking solution with a distributed architecture. Game Theory is very suitable for this task, since it is a comprehensive mathematical tool for modeling the highly complex interactions among distributed and intelligent decision makers. In this way, the more convenient management policies for the diverse players (e.g. content providers, cloud providers, home providers, brokers, network providers or users) should be found to optimize the performance of the overall network infrastructure. The authors discuss in this chapter several Game Theory models/concepts that are highly relevant for enabling collaboration among the diverse players, using different ways to incentivize it, namely through pricing or reputation. In addition, the authors highlight several related open problems, such as the lack of proper models for dynamic and incomplete information games in this area.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:IT-CLI - Capítulos de livros internacionais

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