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Stackelberg Game Based Incentive Mechanism for Data Transmission in Mobile Opportunistic Networks

机译:基于Stackelberg博弈的移动机会网络中数据传输的激励机制

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Mobile opportunistic networks (MONs) can utilize the random contacts among nodes to deliver data, which is a crucial complement of the traditional infrastructure-based communications. However, due to the limited resource and the issues of security and privacy, the selfishness of nodes proves to bring severe negative impact on the data transmission for MONs. Therefore, how to motivate nodes to contribute their transmission capacity turns to be an important topic. Because of the time-varying trait of MONs, it is challenging to incent selfish nodes to help others, because it is hard to control the data forwarding process and the corresponding cost. In this paper, we propose a Stackelberg game based incentive mechanism for data dissemination in MONs, which realizes the optimal resource allocation, including the task assignment and pricing of data forwarding for the relays. In addition, we analyze the existence of the equilibrium state, which theoretically presents some requirements of parameter setting for real deployment of our mechanism. In the end, we demonstrate the effectiveness of our proposed mechanism.
机译:移动机会网络(MON)可以利用节点之间的随机联系来传递数据,这是对基于传统基础结构的通信的重要补充。然而,由于资源有限以及安全性和隐私性问题,节点的自私性被证明会对MONs的数据传输带来严重的负面影响。因此,如何激励节点贡献其传输容量成为重要的课题。由于MONs随时间变化的特性,激励自私节点来帮助其他节点具有挑战性,因为很难控制数据转发过程和相应的成本。在本文中,我们提出了一种基于Stackelberg博弈的激励机制,用于MONs中的数据分发,该机制实现了最佳的资源分配,包括任务分配和中继的数据转发定价。此外,我们分析了平衡状态的存在,从理论上讲,对于实际部署我们的机构提出了一些参数设置要求。最后,我们演示了我们提出的机制的有效性。

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