{"title":"Computation of a Nash Equilibrium of Multiple-Leader Stackelberg Network Games","authors":"V. Rodoplu, Gautam S. Raj","doi":"10.1109/ICSNC.2010.43","DOIUrl":null,"url":null,"abstract":"We propose a multiple-leader Stackelberg network game to model the pricing decisions of relay nodes on an arbitrary topology between a source and a destination, under a reservation-based traffic model. After deriving closed-form solutions for the special case of serial and parallel networks, we present a centralized algorithm that finds a Nash equilibrium of the multiple-leader Stackelberg network game. We design an algorithm that converges to a Nash equilibrium for an arbitrary relay topology. We analyze the performance of the algorithm in the context of energy-limited wireless networks.","PeriodicalId":152012,"journal":{"name":"2010 Fifth International Conference on Systems and Networks Communications","volume":"161 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Fifth International Conference on Systems and Networks Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSNC.2010.43","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
We propose a multiple-leader Stackelberg network game to model the pricing decisions of relay nodes on an arbitrary topology between a source and a destination, under a reservation-based traffic model. After deriving closed-form solutions for the special case of serial and parallel networks, we present a centralized algorithm that finds a Nash equilibrium of the multiple-leader Stackelberg network game. We design an algorithm that converges to a Nash equilibrium for an arbitrary relay topology. We analyze the performance of the algorithm in the context of energy-limited wireless networks.