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An MPS-BNS Mixed Strategy Based on Game Theory for Wireless Mesh Networks

机译:基于网格理论的无线Mesh网络MPS-BNS混合策略

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摘要

To achieve a valid effect of wireless mesh networks against selfish nodes and selfish behaviors in the packets forwarding, an approach named mixed MPS-BNS strategy is proposed in this paper. The proposed strategy is based on the Maximum Payoff Strategy (MPS) and the Best Neighbor Strategy (BNS). In this strategy, every node plays a packet forwarding game with its neighbors and records the total payoff of the game. After one round of play, each player chooses the MPS or BNS strategy for certain probabilities and updates the strategy accordingly. In MPS strategy, each node chooses a strategy that will get the maximum payoff according to its neighbor's strategy. In BNS strategy, each node follows the strategy of its neighbor with the maximum total payoff and then enters the next round of play. The simulation analysis has shown that MPS-BNS strategy is able to evolve to the maximum expected level of average payoff with faster speed than the pure BNS strategy, especially in the packets forwarding beginning with a low cooperation level. It is concluded that MPS-BNS strategy is effective in fighting against selfishness in different levels and can achieve a preferable performance.
机译:为了达到无线网状网络对分组转发中自私节点和自私行为的有效效果,提出了一种混合MPS-BNS策略。提议的策略基于最大支付策略(MPS)和最佳邻居策略(BNS)。在此策略中,每个节点都与其邻居一起玩一个数据包转发游戏,并记录游戏的总收益。一轮比赛后,每个玩家都会针对某些概率选择MPS或BNS策略,并相应地更新策略。在MPS策略中,每个节点选择一个策略,该策略将根据其邻居的策略获得最大回报。在BNS策略中,每个节点以最大总收益遵循其邻居的策略,然后进入下一轮比赛。仿真分析表明,MPS-BNS策略能够以比纯BNS策略更快的速度发展到最大预期平均收益水平,特别是在以低协作级别开始的数据包转发中。结论是,MPS-BNS策略在不同层次上有效地对抗自私,并可以取得较好的表现。

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