Bayesian-based game theoretic model to guarantee cooperativeness in hybrid RF/FSO mesh networks

Authors:
Osama Awwad;Ala Al-Fuqaha;Bilal Khan;Driss Benhaddou;Mohsen Guizani;Ammar Rayes
Affiliations:
Computer Science Department, Western Michigan University;Computer Science Department, Western Michigan University;John Jay College, City University of New York;Engineering Technology Department, University of Houston;Computer Science Department, Western Michigan University;Cisco Systems, Inc.
Venue:
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Year:
2009

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Abstract

In this paper we describe an effective new technique by which to guarantee cooperativeness in Hybrid Radio-Frequency/Free Space Optics (RF/FSO) networks. Our approach is based on a novel Bayesian game-theoretic model, and uses a pricing scheme in which each destination node pays some amount of virtual money to the source node in order to acquire a reliable connection. We describe both single-stage and multi-stage solutions for the game in terms of its Nash and Perfect Bayesian Equilibriums. Pure strategies are found when the required conditions are met; otherwise the game is played as a mixed-strategy. Our numerical results quantify the inherent tradeoffs involved in changing the game's parameters vis-a-vis the equilibrium player strategies and game's outcomes.