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A Game-Theoretic Approach to Stimulate Cooperation for Probabilistic Routing in Opportunistic Networks

机译:机会网络中概率路由刺激合作的博弈论方法

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Opportunistic networking is an important technique to enable users to communicate in an environment where contemporaneous end-to-end paths are unavailable or unstable. To support end-to-end messaging in opportunistic networks, a number of probabilistic routing protocols have been proposed. However, when nodes are selfish, they may not have incentives to participate in probabilistic routing, and the system performance will degrade significantly. In this paper, we present novel incentive schemes for probabilistic routing that stimulates selfish nodes to participate. We not only rigorously prove the properties of our schemes, but also extensively evaluate our schemes using GloMoSim. Evaluation results show that there is an up to 75.8% gain in delivery ratio compared with a probabilistic routing protocol providing no incentive.
机译:机会网络是使用户能够在不可用或不稳定的端到端路径的环境中进行通信的一项重要技术。为了支持机会网络中的端到端消息传递,已经提出了许多概率路由协议。但是,当节点自私时,它们可能没有动力参与概率路由,并且系统性能将大大降低。在本文中,我们为概率路由提出了新颖的激励方案,该方案刺激了自私节点的参与。我们不仅严格证明了方案的性质,而且还使用GloMoSim广泛评估了方案。评估结果表明,与不提供诱因的概率路由协议相比,交付率最多可提高75.8%。

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