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Self-optimization of Wireless Systems: An Approach by the Game Theory

  • Conference paper
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Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) (AI2SD 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1106))

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Abstract

The evolutionary game theory, adapted mathematical biology, is used to describe and predict the properties of dense populations, whose evolution depends on a large number of local interactions, each involving a finite number of individuals. The evolutionary game theory can be related to Darwin, which introduced the concept of natural selection and therefore competition between the genotypes and phenotypes of individuals. It was J. Maynard Smith who truly defined the evolutionary games, and in particular their possible solution, by introducing the fundamental concept of Evolutionary Stable Strategy (ESS). In particular, as regards access to a common medium. In an Ad-hoc network, mobiles share the same limited frequency band. This frequency band is divided into physical channels, and each channel is assigned to a single communication. When two mobile simultaneously send the same channel, an interference phenomenon occurs and sent packets will be lost.

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Acknowledgment

We would like to thank the CNRST of Morocco (I 012/004) for support.

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Correspondence to Sara Riahi .

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Riahi, S., Riahi, A. (2020). Self-optimization of Wireless Systems: An Approach by the Game Theory. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1106. Springer, Cham. https://doi.org/10.1007/978-3-030-36677-3_15

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