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Distributed coalition formation for selfish relays and eavesdroppers in wireless networks: A job-hopping game

机译:无线网络中自私的中继和窃听者的分布式联盟形成:跳槽游戏

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Game theory has been widely applied to modeling cooperative or competitive behaviors among wireless users and their adversaries in physical layer security. In this paper, we analyze a novel cooperative behavior among eavesdroppers and relays to enhance their eavesdropping performance. The above cooperative eavesdropping problem is formulated as a hedonic coalition formation game, where we propose a novel and well suited job-hopping preference for the game players (i.e. the eavesdroppers and jamming relays). Simulation results show that the game players can self-organize into an ultimate coalition structure through a distributed hedonic job-hopping algorithm. Besides, it is clear that our scheme can improve the average eavesdropping capacity per eavesdropper up to 88.33% over the non-cooperative case. Also, by autonomous and dynamic job-hopping behaviors, the players can self-adapt the network topology to inherent environmental changes in wireless networks.
机译:博弈论已广泛应用于在物理层安全性方面对无线用户及其对手之间的协作或竞争行为进行建模。在本文中,我们分析了窃听者和中继之间的一种新颖的协作行为,以增强其窃听性能。上面的合作窃听问题被表述为享乐联盟形成游戏,其中我们为游戏玩家(即窃听者和干扰中继)提出了一种新颖且非常适合的跳槽偏好。仿真结果表明,游戏者可以通过分布式享乐跳槽算法自组织成最终的联盟结构。此外,很明显,在不合作的情况下,我们的方案可以将每个窃听者的平均窃听能力提高到88.33%。而且,通过自主和动态的跳槽行为,参与者可以使网络拓扑适应无线网络中固有的环境变化。

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