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A peer-to-peer communication based content distribution protocol for incentive-aware delay tolerant networks

机译:基于对等通信的奖励感知延迟容忍网络的内容分发协议

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摘要

In the absence of Internet connectivity, a content-centric opportunistic network can be established by mobile human-held devices. However, to save battery, buffer, and bandwidth resources, device carriers may selfishly disable their delay-tolerant networking (DTN) application when communication is not desired. Consequently, the network performance will degrade as the majority of the data forwarding protocols for the DTNs are designed assuming cooperative relaying by nodes. To inculcate cooperation among the otherwise selfish communicating nodes, we propose an incentive-aware pricing game for interest-based social-aware forwarding in the DTNs. We formulate the pricing game between nodes as the Rubinstein Bargain model to enhance content distribution in DTNs. The communicating nodes decide the pricing and the cooperation level based on the following three parameters: (1) remaining battery level, (2) their social strength, and (3) message worth. Moreover, to enhance content distribution of large size messages in such networks, the proposed algorithm enables nodes to share information in a peer-to-peer fashion. Performance evaluation shows that the proposed algorithm effectively increases the distribution ratio of complete files, reduces their data delivery delays, and mitigates the selfish behavior of nodes.
机译:在没有Internet连接的情况下,可以通过移动手持设备建立以内容为中心的机会网络。但是,为了节省电池,缓冲区和带宽资源,当不需要通信时,设备运营商可能会自私地禁用其延迟容忍网络(DTN)应用程序。因此,由于大多数DTN的数据转发协议是在假定节点进行协作中继的情况下设计的,因此网络性能将下降。为了灌输原本自私的通信节点之间的合作,我们提出了一种激励意识的定价游戏,用于DTN中基于兴趣的社交意识转发。我们将节点之间的定价博弈公式化为Rubinstein讨价还价模型,以增强DTN中的内容分发。通信节点根据以下三个参数确定定价和合作级别:(1)剩余电池电量,(2)他们的社交力量和(3)消息价值。此外,为了增强这种网络中大型消息的内容分发,所提出的算法使节点能够以对等方式共享信息。性能评估表明,该算法有效提高了完整文件的分配比例,减少了文件的数据传递时延,减轻了节点的自私行为。

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