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Stochastic game theoretical model for packet forwarding in relay networks

机译:中继网络中分组转发的随机博弈理论模型

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摘要

In this article, a new game theoretical method is proposed to model packet forwarding in relay networks. A simple case of relay network that consists of a source, a relay and a destination node communicating on a common channel is considered. A stationary Markovian game model is utilized to optimize the system performance in terms of throughput, delay and power consumption cost. Both cooperative and non-cooperative solutions are provided for this model. Best strategy set taken by players as well as system performance is studied for different system parameters. Also, the proposed method is extended to model a more general case of Ad-hoc networks considering different packet error rates in case of collision occurrence that improves the system performance further. Simulation results show that performance of the non-cooperative solution, in which players do not require to know each other's selected strategy, asymptotically approaches the cooperative system performance. Hence, the proposed model with non-cooperative solution is an appropriate method to apply in practical Ad-hoc networks.
机译:在本文中,提出了一种新的博弈论方法来对中继网络中的分组转发进行建模。考虑了由在公共信道上通信的由源,中继和目的节点组成的中继网络的简单情况。利用固定的马尔可夫博弈模型在吞吐量,延迟和功耗成本方面优化系统性能。为此模型提供了合作和非合作解决方案。研究了针对不同系统参数的玩家采取的最佳策略以及系统性能。而且,所提出的方法被扩展为在发生冲突的情况下考虑不同的分组错误率来对Ad-hoc网络的更一般的情况进行建模,这进一步改善了系统性能。仿真结果表明,参与者无需了解彼此选择的策略的非合作解决方案的性能就渐近地接近了合作系统的性能。因此,所提出的具有非合作解决方案的模型是一种适用于实际Ad-hoc网络的合适方法。

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