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A Game-Theoretic Approach for Balancing the Tradeoffs between Data Availability and Query Delay in Multi-hop Cellular Networks

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7287))

Abstract

In this paper, the selfish caching problem in multi-hop cellular networks (MCNs) is formulated as a non-cooperative game: data caching game. Towards balancing the tradeoffs between data availability and query delay in MCNs, an incentive mechanism based upon a payment model is set up for data caching game. The data caching game is proved to be a potential game. Thus, for the game, pure Nash equilibra can be obtained and the best response dynamics converge to a pure Nash equilibrium. Moreover, by properly setting the payoff distribution rule, caching proxies have incentive to or not to cache the same data to some extent. Thereby, the performance of data availability and query delay can be tuned in an adjustable-way, which results in a desirable service performance that service provider intends to achieve.

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© 2012 Springer-Verlag Berlin Heidelberg

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Li, J., Liu, W., Yue, K. (2012). A Game-Theoretic Approach for Balancing the Tradeoffs between Data Availability and Query Delay in Multi-hop Cellular Networks. In: Agrawal, M., Cooper, S.B., Li, A. (eds) Theory and Applications of Models of Computation. TAMC 2012. Lecture Notes in Computer Science, vol 7287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29952-0_46

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  • DOI: https://doi.org/10.1007/978-3-642-29952-0_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29951-3

  • Online ISBN: 978-3-642-29952-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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