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Selfish Flow Games in Non-cooperative Multi-radio Multi-channel Wireless Mesh Networks with Imperfect Information

机译:具有不完善信息的非合作多无线电多信道无线网状网络中的自私流博弈

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Multi-Radio Multi-Channel capabilities in Wireless Mesh Networks can enormously increase backhaul connectivity, network throughput and fault tolerance as simultaneous transmissions can be achieved through multiple radios tuned to non-overlapping channels with minimum degree of interference. End user flows compete for channel resources along the end to end mesh backhaul path across multiple collision domains, which need high cooperation and trust. On the other hand, realistic mesh topologies span over different collision domains with a minimum degree of cooperation among the network users. This selfish behavior of end users degrades their individual fairness and affects the overall mesh backbone performance too. In this paper, we have proposed a novel multi-radio multi-channel game theoretic model in multiple collision domains, where flows of the network are considered as players of the game. Our analytical results show that Nash Equilibrium exists for such types of games and simulation results show that our distributed algorithm converges to a stable state in finite time with maximum fairness among the players.
机译:无线网状网络中的多无线电多信道功能可以极大地增加回程连接性,网络吞吐量和容错能力,因为可以通过将多个无线电调谐到非重叠信道并以最小程度的干扰来实现同时传输。最终用户流在跨多个冲突域的端到端网格回程路径上争夺信道资源,这需要高度的合作和信任。另一方面,现实的网格拓扑跨越不同的冲突域,并且网络用户之间的协作程度最低。最终用户的这种自私行为降低了他们的个人公平性,也影响了整个网状骨干网的性能。在本文中,我们提出了一种在多个碰撞域中的新颖的多无线电多通道游戏理论模型,其中网络流被视为游戏的参与者。我们的分析结果表明,这种类型的游戏存在纳什均衡,而仿真结果表明,我们的分布式算法在有限的时间内收敛到稳定状态,并且玩家之间具有最大的公平性。

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