REPSYS: A Robust and Distributed Incentive Scheme for Collaborative Caching and Dissemination in Content-Centric Cellular-Based Vehicular Delay-Tolerant Networks
REPSYS: A Robust and Distributed Incentive Scheme for Collaborative Caching and Dissemination in Content-Centric Cellular-Based Vehicular Delay-Tolerant Networks
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DOI：
10.1109/mwc.2018.1700284
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发表时间：
2018-06
影响因子：
12.9
通讯作者：
Naércio Magaia;Zhengguo Sheng;P. Pereira;M. Correia
中科院分区：
文献类型：
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作者：
Naércio Magaia;Zhengguo Sheng;P. Pereira;M. Correia
在这篇文章中，一个强大的和分布式的激励计划，协同缓存和分发内容为中心的蜂窝为基础的车辆延迟容忍网络（REPPER）的建议。REPALITY是健壮的，因为尽管考虑了第一手和第二手信息，但它对虚假的指控和赞扬具有弹性，并且是分布式的，因为与另一个节点交互的决定完全取决于每个节点。性能评估表明，REPALGORY是有能力的，同时评估每个节点在网络中的参与，在大多数情况下，正确的分类节点。此外，它揭示了在REPPER中存在权衡，例如，为了减少既不缓存也不传播其他节点数据的节点的检测时间，可能会牺牲系统对虚假指控和赞扬的弹性，甚至通过惩罚不传播数据的节点，可能会暂时隔离可能有助于数据传播的节点。
In this article, a robust and distributed incentive scheme for collaborative caching and dissemination in content-centric cellular-based vehicular delay-tolerant networks (REPSYS) is proposed. REPSYS is robust because despite taking into account first- and second-hand information, it is resilient against false accusations and praise, and distributed, as the decision to interact with another node depends entirely on each node. The performance evaluation shows that REPSYS is capable, while evaluating each node's participation in the network, of correctly classifying nodes in most cases. In addition, it reveals that there are trade-offs in REPSYS, for example, to reduce detection time of nodes that neither cache nor disseminate other nodes' data, one may sacrifice the system's resilience against false accusations and praise, or even, by penalizing nodes that do not disseminate data, one may temporarily isolate nodes that could contribute to data dissemination.