In this paper game theory is exploited to derive an optimal solution to the problem of cooperative data transmission based on distributed selection diversity in an ad hoc wireless network consisting of selfish nodes. First, a credit-based micro-economical model is proposed to manage node interaction; then, a transmission strategy maximizing node utility is derived. In the proposed strategy each node decides, in an autonomous fashion, whether and when transmitting data packets over a shared wireless channel. Numerical results evidence that this approach can ensure both fairness in the access to a shared medium and excellent network efficiency. In particular, it offers an higher throughput level than other communication protocols implementing selection diversity in distributed multi-antenna systems.
A Game Theory Approach to Selection Diversity in Wireless Ad-Hoc Networks / Sergi, Simone; Pancaldi, Fabrizio; Vitetta, Giorgio Matteo. - ELETTRONICO. - (2009), pp. 1-6. (Intervento presentato al convegno 2009 IEEE International Conference on Communications, ICC 2009 tenutosi a Dresden, deu nel 14 - 18 June 2009) [10.1109/ICC.2009.5198607].
A Game Theory Approach to Selection Diversity in Wireless Ad-Hoc Networks
SERGI, SIMONE;PANCALDI, Fabrizio;VITETTA, Giorgio Matteo
2009
Abstract
In this paper game theory is exploited to derive an optimal solution to the problem of cooperative data transmission based on distributed selection diversity in an ad hoc wireless network consisting of selfish nodes. First, a credit-based micro-economical model is proposed to manage node interaction; then, a transmission strategy maximizing node utility is derived. In the proposed strategy each node decides, in an autonomous fashion, whether and when transmitting data packets over a shared wireless channel. Numerical results evidence that this approach can ensure both fairness in the access to a shared medium and excellent network efficiency. In particular, it offers an higher throughput level than other communication protocols implementing selection diversity in distributed multi-antenna systems.Pubblicazioni consigliate
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